We are working with a new hedge fund in NYC that is looking for a variety of PMs to build out different businesses from the ground level. This is a multi-strategy fund that will consider any successful strategy including but not limited to: Statistical Arbitrage, Vol Arbitrage, Merger Arbitrage, Equity Derivatives, ETFs, Fixed Income, Futures and Liquid Credit.  They have a lot of capital to deploy and unlike most hedge funds, they can pay very competitive payouts.   So if you are looking to start your own team or to move you existing team over to a greenfield platform with a better payout and less nonsense give us a call.  NYC based but remote location ok. 

Work with Front Office Portfolio Management Team to build and deploy Systematic Trading Strategies for a growing Systematic Hedge Fund based in NYC.

Experience with Python and Financial Market Data 

Our client, a major NYC hedge fund seeks low latency C++ developers to build a greenfield trading and research infrastructure. Successful candidates for this role must demonstrate a strong background primarily focused on a HFT system.

In addition, candidates should be experienced C++ developers, and should be comfortable producing code in a large multi-author code base using standard tools.

More experienced candidates should also be able to demonstrate significant expertise in at least one area relevant to low-latency trading.

Our client is looking for a quantitative researcher to work within a low latency machine learning trading team that currently researches and builds low latency trading models in the liquid futures space. The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon. Suitable candidates will generally have at least 5 years of comparable quantitative research experience.

• 5+ years of experience researching low latency futures signals and strategies

• MSc or PhD from a top institution is preferred

• Strong preference for advanced degrees in a cutting edge quantitative field

• Excellent understanding of probabilities, statistics and optimization

• Experience manipulating large datasets, including tick-level data

• Excellent programing skills: experience with both high-level - either Python, R, Julia as well as a lower-level languages - C or C++

NYC or SF Bay area

We are actively recruiting for Senior Software Engineers for our client's offices in the New York and Chicago These persons have demonstrated experience in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading.

Responsibilities:

  Develop and manage high quality, robust and efficient data and model pipelines.

  Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment.

  Build automated tools to evaluate model performance.

  Work closely with quantitative, portfolio researchers to improve the profitability of trading tactics.

MUST HAVE Technical Experience:

  At least 5+ years of full-time professional software development experience

  Previous experience with building and maintaining production machine learning systems and real-time data ingestion.

  Strong background in software engineering and quantitative analysis

  Expertise in Python. Some experience with C++ a plus but not a requirement.

  Comfortable with iterative software development; high standards for software quality and hygiene

  No experience required in finance and/or quantitative trading; interest is beneficial.

Associate – Portfolio Management

Company Description
SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. A major player in the U.S. distressed residential mortgage loan space seeking to generate long-term returns in securitized products, distressed credit, and whole loans. Headquartered in Dallas.

Experience building/managing infrastructure in Python on a Portfolio Management team or on a Data Team.

Medium frequency trading experience preferred.

Experience working on/building global infrastructure (i.e. worked on data issues outside US)

Once infrastructure is built the role will entail Quantitate/Alpha Research

Hands on coding experience is a must; experience in Python or R ;SQL knowledge is required.

LINUX knowledge is a plus.

Would consider pure tech candidates from data teams but the individual should be interested in doing alpha research.

Our client is a well-known and profitable NYC hedge fund.  You will be part of trading team which offers you a broad exposure to all areas of research, trading and portfolio management. 

Our client wants an organized and proficient Quant Developer to build its research infrastructure in the Cloud. The candidate will work within a team of extremely talented and collaborative Quantitative Researchers, Developers and Portfolio Managers. The team is comprised of technical and hands-on builders, each wearing multiple hats, and so will you.

Quantitative Researcher to contribute to the continued growth and success of our residential loan and securities business.   The candidate will interact with all teams such as Transaction Management, Finance, Portfolio Management and Asset Management, in addition to the head of the Firm.

Responsibilities:

•             Actively participate in all trading activities related to U.S. residential mortgages, from bid evaluation, acquisition, disposition, and securitization.

•             Conduct empirical analysis on mortgage performance including prepayment, default, loss severity from large scale of loan level performance data.

•             Design and implement model performance metrics like back tests, sensitivity, and scenario analysis.

•             Maintain and enhance existing pricing engine based on market dynamics.

•             Assist with valuation process on whole loan and securities.

•             Work on the infrastructure build-out associated with the portfolio management.

•             Analyze and summarize macroeconomic indicators, such as housing and demographic trends and closely monitor housing related regulations and jurisdiction development.

•             Work closely with trading and financing counter parties to evaluate and explore financing options and capital market executions.

•             Work with whole loan transaction management team to track live trade due diligence and closing processes.

•             Assist finance team in reconciling and processing monthly whole loan servicer remittance tapes.

•             Assist in day-to-day repo financing for securities and monthly warehouse financing for loans.

•             Compare various financing options including securitized deal execution.

•             Managing daily risk position and portfolio P&L.

•             Optimizing loan portfolios for sale and securitization.

•             Design/deploy reports such as investment portfolio analysis and fund performance analysis for Senior Management review.

•             Other duties as assigned.

Qualifications:

•             Master's degree in Engineering (any), Computer Science, Information Technology, Mathematics, or related field.

•             3-5 years of experience in the job offered or a related occupation.

•             Proficiency in Python and working knowledge in packages such as Pandas, Numpy, Scikit-learn.

•             Solid knowledge in statistical modelling, financial mathematics including statistical model development, Monte Carlo simulation, mortgage analytics, etc.

•             Hands on experience in manipulating large scale of data set.

•             Proficiency in Excel and financial modelling such as NPV.

•             Prior experience with structured products, especially residential mortgages, securities and structuring is strongly preferred.

•             

Excellent Software Engineering opportunitiy in Dallas.

Work on Front Office, State of the Art Cloud based systems.

Our clients are looking for Software Engineers with varying levels of experience.   There are opportunities for front, middle and back-office developers and analytical, data scientists and data engineers.  Our clients’ tech stacks are Python/ Linux with additional opportunities in C# and C++.  

• Deep, proven understanding of fundamental data structures and algorithms; this means he/she should be able to pick and argue their choices in designing a solution.
• Commanding experience in using .NET and the C# language in implementing high performance, ultra-resilient solutions for high volume batch and real time processing; ability to write error free, elegant code which is easy to understand and maintain.
• Mastery of OO design and good understanding of functional programming with demonstrable skill to pick one or another in given circumstances.
• Strong knowledge of various SQL language dialects and principles of relational algebra design.
• Demonstrable knowledge of design and implementation patterns.

We are actively recruiting for our Full Stack Software Engineer, a Visualization Lead for Chicago. This person MUST have experience in building and iterating on user interfaces (management, introspection etc) for a new suite of tools for research. 
Responsibilities:
Data and research result visualization
Design, develop and own a new system for analyzing and presenting research results, from alpha to simulation results
Iterate on functionality based on feedback from the Head of Quantitative Strategies and research team
Help design and implement the backend of the above system, enabling the presentation of summary data and on-demand computation
Ideate, test, and analyze solutions to data challenges of visualization at scale
Improve productivity by developing tighter integration with the research development environment, such as VS Code plugins to ease iteration, debugging etc.
Define and drive the adoption of web development best practices
Provide mentorship for Research Engineering and the rest of the firm
Technical Experience:
6+ years of experience building and delivering customer facing products
A bachelor’s, or advanced degree in a technical subject area
Experience with multiple languages: Typescript, UI frameworks such as React.js or Svelte, HTML5, CSS3; Python is a major plus
Excellent understanding of web and back-end technologies and best practices
Experience with large-scale data visualization; graphing and network visualization libraries
Great communication skills, customer-oriented mentality, keen attention to detail, readiness to challenge assumptions and an obsession with building quality software
A track record of iterative/user-feedback driven development

Systematic Hedge Fund looking for an Applications Team Lead or Sr Developer to lead its Applications team.

Build/manage the firms Applications framework and related services. 

Strong Python and React exp reguired.    

Experience with Restful services and best prectices

Should understand Hege Fund/Bank applications (React/Python)

Comfortable with both Windows and Linux operating systems

Cloud experience preferred 

Experience with other GUI toolkits and app frameworks helpful

Our client is looking to expand their FPGA team.  These two positions can be worked 100% remotely for this HFT firm.

This is Proprietary Market making Firm that is small enough but also has the benefit of being part of a bank for stability. 

Are you looking for a role focused on helping people find their perfect career fit?  As a Talent Sourcing Specialist, you will be the first point of contact in a candidate's hiring journey.  You will identify qualified applicants using our database and internet tools and facilitate their job search.

Our client is looking for a motivated C++ developer to join our growing engineering team and contribute to the build-out of our proprietary options market-making trading platform. Successful candidates will work closely with an industry-leading team of options traders and quantitative researchers who participate fully in the design and on-going enhancements to our proprietary trading and research platform.

Our client, a major hedge fund is seeking a developer to join a successful trading team.  This developer will maintain and enhance existing code.  We expect this developer to extend the applications and infrastructure to trade new assets such as equities from the existing FX, FI and futures trading.

Our client is looking for a Senior C++ Low Latency Developer with a minimum of  5-10 years of experience.  Experience with C++ 14  is required  with C++ 17 or 20 is a plus.  A solid Computer Science background combined with your experience in HFT is a must have requirement.  This is a group of 4 Senior Developers building a new C++ Low Latency Trading applications and extending the infrastructure as required. 

Skills: C++ 14, Linux, Low Latency, High Frequency Trading

Description:

Mid-town systematic trading firm is looking for a low latency C++ programmer to work in close collaboration with traders on development of trading infrastructure and strategies.

Our client is looking for a Senior C++ Low Latency Linux Developer with 3-10 years of experience.  While financial experience is not required, a solid Computer Science background is.  This is a new group building a new C++ Low Latency Trading System.  This is a comprehensive and new system being built by a small team.  Think start-up environment inside an established firm.

Skills: C++, Linux, Low latency, multi-threading, data structure

The Trading Systems Development Engineer will work directly with traders, researchers, and other developers to engineer cutting edge trading systems.  S/he will drive innovation for the frameworks upon which firm’s trading applications are based, as well as benchmarking and tuning critical software services to achieve optimum performance internally and at all venues connected to around the globe.

We are looking for an ambitious Recruiter / Client Manager to join our very successful team in Westchester County, New York. 

The Data Analytics Strat will be a member of the team and will work closely with key stakeholders from the investment team. This person will be responsible for building and supporting the firm’s financial data analytics. The successful candidate will be knowledgeable in financial market and products, including derivatives, across asset classes and will enjoy working in a fast paced, business facing environment with end-to-end responsibility for models and applications. Ideal candidates will have additional experience with execution data and analysis, and work with Execution team in developing our internal transaction cost analytics.

Hedge Fund is looking for a Systems Engineer to join the Infrastructure team.  This position will report to the Head of Infrastructure and will be primarily tasked to manage the Windows side of the shop but would expand into Linux and other areas of infrastructure as needed.  This person would also oversee/manage the Desktop support function globally.   The successful candidate would have at least 5 years of experience with Windows/Linux systems, in an environment that is fast paced.

Data Architecture / Engineering team.  

The team is responsible for the firm’s data architecture and infrastructure, including data ingestion, processing and internal distribution as well as analytical tools. Work includes projects related to intraday and end of day data processing, data validation, monitoring and data distribution to end users through micro-services and/or other means. 

Data Architecture / Engineering team.  

The team is responsible for the firm’s data architecture and infrastructure, including data ingestion, processing and internal distribution as well as analytical tools. Work includes projects related to intraday and end of day data processing, data validation, monitoring and data distribution to end users through micro-services and/or other means.