We are seeking a Java Low Latency Developer to design, build and maintain our proprietary, low latency trading system.  

Financial experience not required.  

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.

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 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’re looking for a Full Stack developer who will take a key role on our research team. Our Full Stack developer must have knowledge in all stages of software development.

You’ll be working alongside other engineers and developers, collaborating on the various layers of the infrastructure for our services platform/applications.

LR143

careers@hrg.net 

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

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.

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.

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.