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indoredatascience · 1 year ago

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Data Science Training: Experts and Curriculum in Indore

Data Science Training: Experts and Curriculum in Indore

Data science training in Indore benefits from a combination of experienced experts and well-designed curricula that prepare students and professionals for the demands of the field. Here's an overview of the experts and curriculum you can expect to encounter in Indore's data science training programs:

Experienced Experts:

Faculty Expertise:

Educational institutions in Indore hire faculty members with expertise in data science, machine learning, artificial intelligence, statistics, and related fields. These experts are responsible for delivering high-quality instruction.

Industry Practitioners:

Many training programs in Indore bring in industry practitioners as guest lecturers or adjunct faculty. These professionals offer real-world insights, share their experiences, and bridge the gap between academia and industry.

Research Scholars:

Some faculty members and researchers in Indore are actively engaged in data science research. They contribute to the academic community and may involve students in research projects.

Mentors and Advisors:

Training programs often provide students with access to mentors and advisors who guide them throughout their learning journey. These mentors offer career advice and help students navigate complex data science topics.

Kick Start Your Career By Enrolling Here: Data Science Course In Indore

Industry Collaboration:

Collaborations with local businesses and organizations allow students to work on real-world projects under the guidance of experienced professionals. These collaborations provide valuable mentorship opportunities.

Curriculum Highlights:

Foundational Courses:

Data science training in Indore typically begins with foundational courses covering statistics, programming (Python and R), data manipulation, and data visualization. These courses build a strong analytical foundation.

Machine Learning and Deep Learning:

Advanced courses delve into machine learning algorithms, deep learning techniques, and neural networks. Students learn to develop predictive models and work with large datasets.

Natural Language Processing (NLP):

NLP is an integral part of data science curricula, enabling students to work with text data, sentiment analysis, and language modeling.

Big Data Technologies:

As big data plays a crucial role in data science, training programs often include courses on big data technologies such as Hadoop, Spark, and distributed computing.

Data Engineering:

Data engineering courses cover data ingestion, data transformation, and database management. Students learn to design and maintain data pipelines.

Data Ethics and Privacy:

Curriculum emphasizes the ethical considerations of data science, addressing issues of privacy, bias, and fairness in data analysis and modeling.

Capstone Projects:

Many data science programs in Indore culminate in capstone projects where students apply their skills to real-world problems. These projects showcase their abilities to potential employers.

Elective Specializations:

Some programs offer elective courses or specializations in areas like healthcare analytics, financial analytics, marketing analytics, or cybersecurity, allowing students to tailor their learning.

Practical Labs and Projects:

Hands-on experience is integral to the curriculum. Students engage in practical labs, assignments, and projects to apply theoretical knowledge to real-world scenarios.

Data Visualization:

Courses on data visualization teach students how to communicate data-driven insights effectively using tools like Matplotlib, Seaborn, Tableau, or D3.js.

Soft Skills Development:

Training programs often incorporate soft skills development, including communication, problem-solving, and teamwork, to prepare students for effective collaboration in the workplace.

Continuous Learning and Updates:

Data science is a rapidly evolving field, so curricula are designed to adapt and update to keep pace with the latest industry trends and advancements.

Certifications and Exams:

Some programs offer certification exams or assessments to validate students' skills and knowledge in specific data science areas.

Real-World Case Studies:

Data science training programs often include real-world case studies that allow students to apply their skills to practical scenarios. Analyzing and solving these cases helps bridge the gap between theory and practice.

Interactive Learning:

Interactive learning methods, including group discussions, peer collaboration, and hands-on workshops, are frequently incorporated into the curriculum. These methods foster engagement and a deeper understanding of the subject matter.

Project Mentoring:

In many data science programs, students are assigned mentors or advisors who guide them through their capstone projects or research initiatives. This mentorship ensures that students receive personalized support and feedback.

Cross-Disciplinary Learning:

Data science often intersects with other fields such as business, healthcare, finance, and engineering. Training programs encourage cross-disciplinary learning, allowing students to gain expertise in domain-specific applications.

Resource Access:

Educational institutions provide access to a wide range of resources, including well-equipped computer labs, high-performance computing clusters, cloud computing platforms, and databases for research and project work.

Guest Lectures and Industry Talks:

Training programs frequently invite guest speakers from the industry to share their experiences and insights. These talks provide students with a real-world perspective and networking opportunities.

Continuous Assessment:

Assessment methods go beyond traditional exams and often include continuous assessment through quizzes, assignments, and peer evaluations. This approach encourages students to stay engaged and consistently demonstrate their skills.

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Career Services:

Many data science training programs in Indore offer career services such as resume building, interview preparation, and job placement assistance to help students secure employment in the field.

Global Perspective:

Some programs incorporate a global perspective by introducing students to international data science trends, best practices, and case studies. This exposure prepares students for global career opportunities.

Research Opportunities:

Institutions with research-focused data science programs provide opportunities for students to engage in cutting-edge research projects alongside faculty members and industry partners.

Flexibility in Learning:

Recognizing the diverse needs of students, some programs offer flexible learning options, including part-time, evening, or online courses, allowing working professionals to pursue data science education while managing other commitments.

Industry Advisory Boards:

Training programs may have industry advisory boards consisting of professionals and experts who provide input on curriculum development, ensuring that it remains relevant and aligned with industry demands.

Continuous Feedback Mechanisms:

Programs collect feedback from students and industry partners to make improvements in curriculum design, teaching methodologies, and overall program quality.

Global Certification Preparations:

Some data science programs include preparatory courses for global certifications like Certified Data Scientist (CDS) or Certified Business Analytics Professional (CBAP), enhancing students' employability.

Advanced Topics:

Advanced topics such as reinforcement learning, generative adversarial networks (GANs), and AI ethics may be covered to prepare students for emerging trends in data science and artificial intelligence.

Networking Opportunities:

Programs often organize networking events, alumni meetups, and industry conferences to help students build connections within the data science community.

Indore's data science training ecosystem combines a comprehensive curriculum, experienced faculty, practical learning opportunities, and industry engagement to ensure that students and professionals acquire the skills and knowledge needed to excel in the rapidly evolving field of data science.

Here are some resources to check out:

What are the Best IT Companies in Indore

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codeavailfan · 5 years ago

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tracey-greene · 8 years ago

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The Summer is winding down, but the Job Market in the Hedge Fund, Private Equity, Electronic Trading, & Proprietary Trading Arenas are Heating up

Below is a list of roles with a brief Abstract and Comp Range.

Please feel free to share these opportunities with your friends.

BELOW are all the Roles - If Interested, Please email me:

[email protected]

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm:Multi-strategy investment Hedge fund. 7+ Billion assets under management

Open Positions:

· C# . Net Developer ( 3 -8 years exp only ) ( Comp: 150 -200 k )

Abstract: Firm is looking to take strong Mid-level .Net C# developers that are superior developers and task them with helping to build out the firm’s full lifecycle suite of trading applications. Candidates DO NOT Need Financial firm experience. Just be extremely strong in .Net Development and be hungry to learn.

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm:Multi-strategy investment Hedge fund. 4+ Billion assets under management

Open Positions:

· Linux Engineer with Strong Network skills ( 4-8 years exp only ) ( Comp: 150 -200 k + )

Abstract: Firm is looking for strong Linux Engineer with more than just basic Network admin skills. The platform engineering group at is responsible for every platform, great opportunity to learn tech silo’s outside of Linux and networking as well. Great shop.

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm: fund founded in 1990’s that manages approximately $32.0 billion+ in assets as of August 1, 2017. We have more than 1,200+ employees working across offices in the United States, Europe and Asia.

Open Positions:

· WQ Aligned Infrastructure - Senior Infrastructure Engineer ( Comp: 250 – 350 k+ )

Abstract: Design and implement massively scalable, highly-performance, cutting-edge infrastructure for a compute grid. Develop and implement software tools and methods to automate and manage large distributed systems. Python, and experience with Ansible/CFEngine/Saltstack. Thorough knowledge up and down the OSI stack and deep knowledge of *nix systems.

· WQ Aligned Infrastructure - Senior Network Engineer ( Comp: 250 – 350 k+ )

Abstract: Design and implement massively scalable, highly-performant network infrastructure for a compute grid. Build and maintain network fabrics through relentless automation – (eg. Ansible). Identify and pilot emerging networking technology to enhance the business’ competitive advantages (eg. PFC, QoS, RoCE)

· WQ Aligned Infrastructure - Senior Storage Engineer ( Comp: 250 – 300 k+ )

Abstract: Hands on experience with NIS, DFS and AD concepts. Experience administering Netapp (C-mode, SnapVault etc) Experience / knowledge / interest in of one or more distributed file/storage systems (GFS, CEPH, GPFS, Lustre, NFS, Bittorrent, *FS)

· WQ Aligned Infrastructure - Senior Support Engineer ( Comp: 250 – 350 k+ )

Abstract: will focus on grid operations (across network, compute and storage) and help lead the creation of an operations discipline across the team. Strong Infrastructure ( Linux Knowledge )

· Database Engineer ( Comp: 250 – 270 k+ )

Abstract: DBA with hands-on experience supporting Oracle and MySQL databases. Productionizing and optimizing applications leveraging Oracle and MySQL databases, provide assistance in physical & logical database design for these database platforms. Skill in Ansible, Python and Linux shell scripting is a must

· Cloud Data Engineer ( Comp: 250 – 400 k+ )

Abstract: experience designing and building data analytics platforms on cloud based infrastructure. Experience with both cloud-native data pipeline and transformation tools, such as AWS Kinesis, Redshift, Lambda, and EMR, as well as withopen source tools such as NiFi, Kafka, Flume, Hadoop, Spark, and Hive. Experience with text based analytics including basic NLP techniques (tokenization, stemming, NER, etc.) is a strong plus. Experience with Lucene based search engines is required with a preference for Elasticsearch.

· Security Engineer ( Comp: 200 – 400 k+ )

Abstract: Security subject matter expert with hands-on experience in a wide range of security technologies, tools and methodologies. Endpoint Detection and Response, DLP, Advance Malware Protection, Desktop encryption and Vulnerability Management. Familiarity with developing controls to secure sensitive Windows workloads hosted on Cloud platforms (IaaS and SaaS). Hands-on experience using Windows development/scripting technologies with web protocols: XML, REST, JSON, REST. Strong knowledge of LDAP, Active Directory, SAML, SSO

· Cloud DevOps Engineer ( Comp: 200 – 350 k+ )

Abstract: DevOps pipeline that will initially be leveraged in the Data Analytics space. build a pipeline infrastructure using all the latest AWS tools and techniques. Automating the build and management of cloud infrastructure using AWS native tools, open source tools, and third party products. Experience with tools, such as Chef, Puppet, Salt, or Ansible is desired. Log management and monitoring tools is required, including experience with cloud native tools, such as AWS CloudWatch.

· Dev Ops Engineer ( Comp: 250 – 300 k+ )

Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM). Configuration and automation tools, such as Chef, Puppet, Ansible, or Salt. Strong coding skills in Python or Java. cloud using AWS CloudWatch, AWS CloudTrail, AWS Config, AWS Lamb

· Data Center Specialist ( Comp: 200 – 370 k )

Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM).Maintain 100% accuracy of assets tracked in the firms DCiM tool. Server HW repair scheduling and coordination with the firms internal clients, infrastructure peers, and Multi-Vendor Services (MVS) partner

Quantitative proprietary trading:

· Firm Location:Mid-Town, NYC

· About Firm: Quantitative proprietary trading firm whose philosophy is that rigorous scientific research can uncover inefficiencies in financial markets, firm was created to develop and systematically trade model driven strategies globally. Firm currently has more than $5 billion of assets under management

Open Positions

· Labs Engineer ( Comp: 300 – 500 k+ )

Abstract: Small and nimble, the R&D Labs team collaborates with every part of firm, from technology to research to business operations. Meaningfully shape and define our long-term tech strategy.. Orchestration (Mesos,Kubernetes, Swarm, ECS, SLURM, Nomad). Platforms (AWS, GCP, Azure, Bluemix). Machine Learning Frameworks (TensorFlow, Theano, Caffee, Torch). IaaS and PaaS Architectures (OpenStack, OpenSwift, Cloud Foundry, Terraform). Container and Virtualization (Docker, rkt, Vagrant). Big Data Frameworks (Spark, Hadoop, Flink). Automation Skills (Puppet, Chef, Ansible, Salt)

· Linux Engineer ( Comp: 250 – 350 k )

Abstract: Linux is truly the heart of our prod and dev environments, and the OS plays a critical role in everything we do. We’re looking for an extraordinary Linux Engineer to join our Systems group. Our dream candidate would have not only impressive knowledge of RHEL (the overall distribution, kernel and subsystems, config management, virtualization, etc.), but also would be strong enough as a generalist (storage, networks, basic SDLC and project management) to be able to architect, build, and run a world-class platform. It’s not a systems programming job,

· Ops Manager ( Comp: 250 – 350 k+ )

Abstract: world-class Operations Manager to lead and expand the capability of our Monitoring team, which today consists of Technical and Trading Operations. These teams sit at the intersection of many parts of the firm, including software development, risk, systems engineering, portfolio management, compliance, and post-trade. The person in this role must be able to collaborate with stakeholders from all of those areas to set expectations and goals, drive improvements, and hit targeted results. He or she also needs a deep technical background,

· Quantitative Researcher ( Comp: 250 – 400 k+ )

Abstract: Strong programming skills (Python, R, Matlab, C++) Firm’s Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually-challenging environment that encourages collaboration and innovative ideas. In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members are working on the most critical and interesting problems, with focus on research rigor and standards.

· Security Architect ( Comp: 250 – 450 k+ )

Abstract: an expert security engineer to direct the way we develop and deploy software. Serving as subject matter expert on information security topics, you will provide technical guidance and support to a variety of large-scale projects across the firm. Our ideal candidate is a superb communicator with broad technical skills, excellent judgment, and information security domain expertise.

· Software Engineer ( Comp: 250 – 320 k )

Abstract: Trading Infrastructure Technology (C++ Focus)

Our business depends on automated trading platforms that are fast, stable, resilient, and innovative. Create, support, and improve our fast real-time global trading engine – the automated platform on which all of our trading strategies run. Manage the codebase that runs order routing and execution, exchange connectivity, and market data. Be a partner to our research strategies, systems engineers, and business operations teams to ensure success

§ Abstract: Trading Business Technology (Java Focus)

Designing and engineering our next generation platform for routing and managing all of our post-trade data is an exceptional challenge and a top business priority. Redesign, build, and evolve our post-trade technology stack for finance, fund operations, analytics, risk, and compliance. Own the selection, vetting, and integration of open-source and third-party platforms. Be a business partner to our CFO, COO, and operations teams

§ Abstract: Software Infrastructure (C++ and Python Focus)

Although we write plenty of our software completely from scratch, we also create an ever-expanding set of powerful tools, services, and common frameworks our developers can use as building blocks. Write, manage, and evolve the core software DNA of libraries and services that our engineers use to write all of the code that runs our business: logging and discovery, orchestration, tooling, services, etc. Innovate in and improve the quality of our development environment, from source control to compilers and beyond.

§ Abstract: Research Infrastructure (C++ and Python Focus)

In order to work their magic, our research scientists and software engineers rely on a suite of bespoke tools, libraries, and applications, running in a fast and stable research grid environment. Build and manage libraries and APIs, as well as the container, distributed algorithm, grid-abstraction, and calculation frameworks used by researchers. Provide a flexible, high-performance research environment. Allow the scale, algorithmic complexity, and searing performance of our HPC grid to be accessible to a diverse set of research users and use cases

· Threat Intelligence / Incident Response ( Comp: 200 – 250 k+ )

Abstract: provide expert guidance on security architecture, threat intelligence and monitoring, and incident response. You’ll also support policy compliance efforts, mitigate the risks of insider threats and information disclosure, and facilitate our understanding of cyber threats. Our ideal candidate is a hands-on generalist – with excellent judgment and strong communication skills – who is interested in contributing to all aspects of information security and risk assurance. Strong experience with designing and operating security monitoring platforms (SIEM) and intrusion detection solutions, as well as with IoCs. Demonstrated ability to coordinate and respond to security incidents using commercial and/or open source technologies. Light software development and/or practical scripting experience. Experience using and extending Splunk is a plus.

Hedge fund

· Firm Location: Down Town, NYC

· About Firm: Electronic trading firm that integrates a number of disciplines into order to be successful, including systems engineering,statistics, computer science, finance, and street smarts.

Open Positions

· Information Security Analyst ( Comp: 210 – 310 k+ )

Abstract: Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. One or two of the cybersecurity technical domains namely DLP, Log review and aggregation on SIEM to track Measurement Indicators (MI) – KRI and KPI, alerts from IDS/IPS

· Senior HPC Engineer ( Comp: 220 – 450 k+ )

Abstract: Senior HPC Engineer will be responsible for:Researching, testing, recommending, implementing, and maintaining large-scale, resilient, distributed systems. Designing and maintaining a multi-petabyte distributed storage system. Optimizing resource utilization and job scheduling. Troubleshooting node-level issues, such as kernel panics and system hangs. Hands-on ;distributed filesystems, such as, GPFS, Lustre and object storage,HPC or cloud scheduling, such as, GridEngine, HTCondor, SLURM, Mesos and Nomad

· Senior Network Engineer ( Comp: 250 – 350 k+ )

Abstract: Taking a leading role in the design of networks for new offices and data centers. Finding low latency solutions for existing network. high performance networks with multiple sites (data centers and/or trading facilities. routing protocols including BGP, OSPF, MSDP and PIM.

· Software Developer ( Comp: 250 – 360 k+ )

Abstract: Designing and implementing a high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges . development language, including Java, Python, or Perl and shell scripts (a plus). strong background in data structures, algorithms, and object-oriented programming in C++

· Team Manager, Cloud Services ( Comp: 220 – 450 k+ )

Abstract: Architecting, installing and managing a large-scale research and development environment utilizing cloud technologies and cloud-scale tools, such as Kubernetes, Docker and Object Store Collaborating with internal trading teams and external business partners to optimize compute workloads

· Tech Lead, Desktop/Mobile Engineering ( Comp: 210 – 280 k+ )

Abstract: Testing, deploying, and troubleshooting Desktop and Mobile technologies to meet architectural and security requirements in an Open Source friendly setting. Engineering and administering the wireless infrastructure within Tower to facilitate connectivity between Enterprise end points for internal resources

· Web Frontend Developer ( Comp: 220 – 310 k+ )

Abstract: least one of the following frameworks: React, Vue.js, AngularJS. Strong knowledge of the full web programming stack (Python/Django experience a plus). Backend development experience in Python or Go (a plus).Expertise with frontend technologies, client side Javascript and HTML based UI development. Strong knowledge of CSS and experience building responsive web designs

Electronic Trading firm

· Firm Location: Down Town, NYC

· About Firm: Hedge fund that uses a variety of technological methods, including artificial intelligence, machine learning, and distributed computing, for its trading strategies. 40 Billion Assets under management, with 800+ employees

Open Positions

· ALPHA CAPTURE SOFTWARE ENGINEER ( Comp: 300 – 450 k )

Abstract: seeking a driven Web 2.0 software engineer to join our alpha-capture product team. Partnering with software engineers across the organization, you will be instrumental in building scalable, multi-server, multi-database web applications. Programming languages such as Java, Groovy, C or C++. front-end javascript libraries like Google Closure, Twitter Bootstrap, jQuery, MooTools, or Dojo. Strong working knowledge of current web standards including CSS3 and HTML 5.

· ENGINEERING MANAGER, DISTRIBUTED STORAGE SYSTEMS ( Comp: 210 – 350 k+ )

Abstract: Our storage requirements are scaling at multiple petabytes per year across a diverse array of storage solutions including block storage, object storage, time series and key-value based systems. In this role, you will be charged with all aspects of the development, operational support, and performance of multi-petabyte tiered storage systems

· NETWORK ARCHITECT ( Comp: 400 – 550 k )

Abstract: Designing, developing and building the next generation data center, campus and colocation networks with a view to enterprise grade security, stability, resilience, application delivery, and automation. Network capacity planning, provisioning and lifecycle management. Working directly with our users to gather ideas and requirements to build a world-class Network environment, using leading-edge techniques and tools. Developing an SDN strategy to the next level. (splunk, elk, logstash). Robust theoretical and practical experience with BGP, OSPF and MPLS VPN technologies. This is a Hands on Role

· PRODUCTION ENGINEER - TRADING ( Comp: 250 – 450 k )

Abstract: Monitoring the health of the production trading system; diagnosing and fixing issues with intraday transactions and post-trade reconciliation; Configuring and deploying changes to the trading system including new features and fixes; Comprehensive programming experience is required. Preferred languages would be Java, Python, C++, Scala, or any language that compiles in the JVM. A strong knowledge of network/connectivity and/or Linux server technologies, particularly as related to ultra-low latency design.

· RELIABILITY ENGINEER ( Comp: 250 – 450 k )

Abstract: Acting as a conduit between infrastructure and development teams, being sympathetic to the concerns and priorities of both; operational support and engineering, OpenStack private cloud; multiple large distributed software applications; support issues and improvements to our tools, processes, and software; Ability to program (structured and OO) with one or more high level languages (such as Python, Java, C/C++, Ruby, JavaScript). In-depth knowledge and experience in at least one of: host based networking, linux/unix administration,

· SYSTEMS SUPPORT ENGINEER ( Comp: 120 – 250 k )

Abstract: SSE will be exposed to multiple IT disciplines including Windows Workstation, Windows Server, MS Exchange, Linux, switches, and telecommunications. The successful candidate will have a strong interest and background in PC Hardware, desktop operating systems, and network functionality. The SSE is the principal owner of service requests.

· VIRTUALIZATION ENGINEER - WINDOWS SERVER FARM ( Comp: 200 – 350 k )

Abstract: lead architect, developing automated Hyper-V and Bare-Metal based Windows Server builds, engineering infrastructure to provide a highly manageable and flexible server farm that can be easily grown, upgraded, operated, patched, and recovered. Skilled invirtualization tool (VMWare, Hyper-V, Xen, etc.),Windows Server 2012R2 and 2016 build and configuration, Microsoft System Center Suite, scripting and automation using PowerShell, C#, Ruby, Python

· WINDOWS PLATFORM ENGINEER ( Comp: 200 – 350 k )

Abstract: Windows Platform Engineering team is a systems team that focuses on developing automated Windows Server and Workstation builds on bare-metal hardware as well as on Hyper-V using SCCM and SCVMM. Engineers within the team have deep and broad skillsets covering hardware, operating systems, VDI, application packaging, application virtualization, server and workstation configuration management, scripting and automation, direct and shared storage, security, networking, monitoring, device management, vulnerability management, operating system and application patching.

Proprietary Trading Shop

· Firm Location: Philadelphia CT

· About Firm: global quantitative trading company. It provides an integrated research, sales, and trading platform that offers research, order execution, and trading flow services with a focus on delivering trading strategies and execution services to clients in North America, Europe, and Asia. With 1000+ employees and 200+ Billion in Assets Managed

Open Positions

· C# Developers ( Comp: 150 – 350 k )

Abstract: develops applications that parse market data into our downstream trading systems. As a member of this team, you will work with a set of high performance libraries and utilities that handle our market data processes. This will involve parsing market data formats and optimizing data structures

· C++ Developers ( Comp: 150 – 350 k )

Abstract: Research, design, develop and test software components and applications in a heterogeneous technology environment using knowledge of object oriented programming and C++/Linux. design and software development in a high-performance / high throughput environment using C++ (preferably in a Linux environment) is required

· FPGA ( Comp: 250 – 450 k )

Abstract: vision from concept through to production including hardware selection, FPGA design, driver and API. Deep knowledge of TCP/IP, PCI-E protocols and x86 architecture is required, as well as experience implementing performance optimized solutions around these.

Hedge Fund

· Firm Location: Greenwich, CT

· About Firm: The firm is a strong proponent of diversification within portfolios, as well as adding strategies with low correlation to traditional asset classes as a complement to existing portfolios. 400+ Employees, 180+ Billion in Assets under management

Open Positions

· Risk IT Professional ( heavy focus BCP-DR ) ( Comp: 1000/day c2c )

Abstract: Firm has need for Heavy DR focus professional that has strong current experience in running DR exercises,recording said exercises, replaying exercises. As well as writing of DR, BCP, Information Security, Infrastructure Risk Plans. ( this is a long term contract and will be a single point SME for this in the hedge fund )

· Software Engineer in Research ( Comp: 200 – 390 k )

Abstract: (Python / NumPy / Pandas)software engineers to work in our research department. Our developers are responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and implementation that powers Fir

· SW Infra Dev ( Comp: 200 – 390 k )

Abstract: Software Infrastructure platform, to provide new middleware, standards and libraries for integrating software systems with each other. Software components are deployed in Windows and Unix platforms, and usually written in Python, Scala, Java, or C#. Working hand in hand with System Administrators and Production Services we provide top notch service to our clients, the developers, to enable them using new technologies the most efficient and safest way possible. (RabbitMQ, Kafka, Docker, Redis, Zookeeper, Grafana, Graphite, InfluxDB, Docker, Swagger Puppet and Ansible )

· Data Visualization Developer ( Comp: 200 – 290 k )

Abstract: Data Visualization Engineer (Front Office) will work hand in hand with the product management teams playing a key role in firm’s portfolio management. The two primary objectives: portfolio monitoring and client communication. (SQL with advanced analytic functions) Python (pandas, NumPy, SciPy) Experience w/ consuming & building APIs. Experience with Tableau or any other BI tool is a plus

· Reporting Engineer ( Comp: 200 – 290 k )

Abstract: The Data Reporting Developer’s day-to-day responsibilities will include importing, normalizing, sanitizing, transforming, validating, and modeling data to distill meaningful information from very large, disparate data sets to support internal business functions, and satisfy client requests Extensive experience with Microsoft SQL Server & Advanced T-SQL Programming, SQL Server Reporting Services7, at least 5+ years’ experience in developing financial systems Java, AJAX.

· Security Engineer ( Comp: 250 – 450 k )

Abstract: The Security Engineer will maintain, design and implement firewalls, IPS, proxy, DDOS, e-commerce web application security infrastructures of the firm.The environment consists of tiered multi-core network components interconnected using a number of point-to-point, MPLS and VPN connections to financial services companies, market data vendors, ISPs, remote sites and users. ( Managing Network Access Control technology, two factor authentication management system, logging and correlation engines, packet capture on servers utilizing Wireshark. Experience with VMware ESX 5.x, ESXi virtualization technology, Experience with web proxy appliances,Experience working with endpoint security and DLP software)

· Risk Technology Developer ( Comp: 250 – 300 k )

Abstract: Risk developer, will help to establish; APIs for accessing core services and data sources for historic inputs to research; Research APIs to support backtesting and model validations; Patterns for promoting research models to official model; Historical simulation and backtesting engines. Knowledgeable about software engineering practices and tools in Java.Experience with C# is a plus

· Senior Systems Engineer - Linux Administrator ( Comp: 200 – 300 k )

Abstract: Effectively managing RHEL-based Linux systems. Experience with puppet and SpaceWalk is helpful but not required. Familiarity with high-performance systems would be preferred such as 10 Gb networking, kernel stack bypass technologies, scheduler and other kernel optimizations. Strong understanding of networking concepts (IP addressing, DHCP and DNS, NTP, multicast routing, 802.1q VLAN tagging) and diagnostic tools (tcpdump/ethtool)

· Algo Trading - Scala Developer ( Comp: 250 – 450 k )

Abstract: asset algorithms trading equities, FX, Futures and options both domestically and internationally. You will: Design, refine, and implement Firm’s multi-asset algorithmic trading strategies. Support the algorithmic infrastructure. Participate in every phase of the software development life cycle. Experience in network, parallel/distributed, multi-threaded programming.Experience with Bash and Python scripting

HEDGE FUND

· Firm Location:Mid-town, NYC

· About Firm:Firm operates two primary businesses: one of the world's largest alternative asset managers with more than $20 billion in assets under management; and the Securities side, one of the leading market makers in the world, trading products including equities, equity options, and interest rate swaps for retail and institutional clients. The company has more than 1400 employees. Currently 149 Billion under management

Open Positions

Data Engineer ( Comp: 250 – 430 k+ )

Abstract: Data Engineers are tasked with building next generation data analysis platforms. Our data analysis methods evolve on a daily basis and we empower our engineers to make bold decisions that support critical functions across the business. Proficiency within one or more programming languages including C, C++, Python, R or JavaScript. Proficiency with multiple data platforms including RDBMS, NoSQL, MongoDB, Spark, Hadoop. Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Cloud Platform Development, Networking, and/or REST Service Development

End User Support & Technology Engineer ( Comp: 200 – 280 k+ )

Abstract: End User Support and Technology Engineers provide technical support and administration for all internal end-user software, hardware, and connectivity. Dell desktops, ThinkPad laptops, RSA Remote Access Tokens, BYOD, and Cisco telephony / IP Trade trading turrets. Strong understanding of Microsoft Windows operating systems and productivity software (Excel, Word, PowerPoint, Visio, Windows). Experience with mobility software such as Office (13/16/365) and Windows (7/10) and hardware platforms such as Surface Pro

FPGA Engineer ( Comp: 400 K +)

Abstract: Partner with business leaders to research, design, implement and deploy FPGA solutions across Citadel’s trading businesses. Maximize trading system efficiency and performance to accelerate algorithmic trade signal generation and order execution. Proficiency within one or more programming languages including C, System Verilog, VHDL, or Bash. Experience in one or more of the following areas: Hardware Architecture, RTL Coding, Simulation, Systems Integration, Hardware Validation and Testing, FPGA Synthesis, and Static Analysis

Infrastructure Operations Engineering ( Comp: 200 – 280 k+ )

Abstract: The Infrastructure Operations team supports critical infrastructure across the firm Understanding of networking, including TCP/IP at layers 2 and 3 and CCNA level. Strong understanding of Linux, RHCSA level with hands on knowledge of the CLI. Advanced Python scripting ability

Network Engineer (Comp: 200 – 350 k) l>

Abstract: responsible for the design, administration and troubleshooting of global network infrastructures in a fast paced, latency-sensitive environment. Knowledge of TCP/IP, OSPF, BGP, MSDP, PIM (SM and DM) protocols. Experience with Cisco (Routing, L3 and L2 switching, Firewalling (FWSM, PIX and ASA) and VPN (Site-to-Site IPSec). Experience with provisioning and maintenance of Coarse and Dense Wave Division Multiplexing (DWDM)

Quant Developer ( Comp: 200 – 450 k)

Abstract: partner with Quantitative Researchers to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies. programming languages, including C++, Python, and R. Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development

Site Reliability Engineer ( Comp: Comp: 220 – 380 k )

Abstract: Reliability Engineers (SREs) are responsible for taking applications to production and providing early support for applications in production. SRE’s will have a deep understanding of how applications function and are able to change applications for production quality. SREs are often be managed centrally, but do longer-term engagements with application teams to push applications into production or manage major refactors. Ensure the reliability, availability, and performance of applications . Monitor CDI/CD pipelines and testing systems for applications

WORLD LEADING HEDGE FUND

· Firm Location: Mid-town, NYC

· About Firm: Global investment and technology development firm with more than $42 billion in investment capital. With 1300 employees.

Open Positions

· Application Security Engineer ( Comp: 200 – 380 k +)

Abstract: This individual will work on the development and execution of the firm's information security program to improve the security posture of a fast-paced, large-scale IT environment. The engineer will collaborate with development and infrastructure teams on the security design of new solutions, perform security reviews of new and existing systems, and design, build, and operate innovative tools to improve internal security operations.

· Data Center Specialist (6-Month Contract) ( Comp: OPEN )

Abstract: This individual will be expected to work independently to assist in general data center operations in a variety of New York and New Jersey area co-location facilities: rack, install, and troubleshoot servers, storage, and networking equipment; and install and troubleshoot copper and fiber cables. This person must have exceptional written and oral communication skills since they will be working closely with other globally-based teams and/or vendors to identify, diagnose, and resolve issues. Attention to detail and the ability to apply knowledge to identify and resolve issues is a must, and previous data center experience is required. Familiarity with DCIM software is a plus. This candidate must also be open to shipping and receiving as required. Working experience with desktop support, project management,

· Network Engineer ( Comp: 200 – 450 k )

Abstract: An in-depth understanding of TCP/IP and LAN switching, familiarity with a wide range of network equipment (including Cisco IOS, NXOS, and ASA platforms), and advanced knowledge of routing protocols (such as BGP and OSPF) are desired. Programming and scripting expertise is essential (preferably in Python) in order to manage a complex environment with a number of internally developed tools, as is knowledge of relevant Cisco APIs. A familiarity with wired/wireless 802.1x environments and Cisco ISE is recommended.

· Security Engineer ( Comp: 200 – 450 k )

Abstract: The engineer will collaborate with development and infrastructure teams on the security design of new solutions, perform security reviews of new and existing systems, and design, build, and operate innovative tools to improve internal security operations. The engineer will also act as first response and work with system owners to remediate security-related incidents. Projects will span a wide range, including application security reviews, design of source code protection mechanisms, establishment of network demarcation points, and investigation of security incidents.

· Senior Windows Systems Engineer ( Comp: 200 – 350 k )

Abstract: An in-depth knowledge of core Windows technologies and strong programming and scripting ability (particularly in C# and PowerShell), with a focus on systems automation and configuration management, are required. A working knowledge of Linux in a cross-platform environment is preferred, and experience designing, developing, and supporting critical infrastructure services is essential. Additionally, some experience with automated build, deployment, and continuous integration systems, as well as configuration management tools (such as SCCM, PowerShell DSC, Puppet, Chef, Ansible, and/or SaltStack) and virtualized infrastructure (particularly Hyper-V and VMware), is a plus

· Systems Administrator ( Comp: 200 – 300 k )

Abstract: familiarity with general systems administration and an understanding of what makes for good IT policy; experience with phone, deskside, and remote user support; experience with hardware and software administration; experience supporting mobile devices; familiarity with a Linux or Solaris environment; experience with Python, PowerShell, and/or other scripting languages; trade floor and/or data center support experience; familiarity with Cisco and/or Polycom communications technology; familiarity with Active Directory.

· Systems Technician ( Comp: 140 – 160 k )

Abstract: Primary responsibilities include PC hardware, peripheral, and software deployments, mobile device management, support of videoconferencing equipment, trading floor support, and occasional datacenter work. Technicians have the opportunity to work with new technologies and state-of-the-art equipment in a collegian working environment

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