Quantitative Researcher

C2R Ventures; Massachusetts; On-site; USD 150,000 - 230,000; Full time

Job summary

C2R Ventures in Boston is seeking a Systematic Quant Researcher to develop and improve trading strategies in credit and rates. The role spans research and live deployment of alpha signals with a focus on cost-efficient execution.

The candidate should have strong math/quant background, 3–8 years in similar roles, and solid programming skills to produce scalable code and clear technical writeups.

Qualifications

• 3–8 years of experience in systematic fixed income research.
• Experience in systematic credit is a plus.
• Strong understanding of statistics and ML and their application to real problems.
• Strong programming ability and ability to write clear, scalable code.
• Ability to write concise technical reports and present complex ideas clearly.

Responsibilities

• Propose, research, and implement new alpha signals from inception to live trading.
• Improve monetization of strategies, targeting electronic venues to reduce trading costs (e.g., TradeWeb, MarketAxess).
• Research and improve systematic trading strategies in credit and rates space.
• Present findings through technical reports and proposals.

Skills

Alpha signal research

Quantitative analysis

ML / statistics

Programming

Education

Mathematics/Physics/Engineering degree

Tools

Python

C++/Java

Job description

Our client, a global Investment Manager based in Boston, is seeking a Systematic Quant Researcher to join their Fixed Income team.In this role, you will be tasked with developing and improving trading strategies within the credit and rates space.

Your responsibilities will span all aspects of researching and improving our systematic strategies, including:

• Proposing, researching, and implementing new alpha signals, taking them from inception to live trading
• Improving the monetization of our strategies, with a particular focus on executing via electronic venues such as TradeWeb or MarketAxess to reduce trading costs
• Exceptional analytical and quantitative skills as evidenced by a degree with high mathematical, statistical content such as Mathematics, Physics, Engineering, Econometrics, Quantitative Economics, etc.
• 3-8 years of experience in systematic fixed income research at a hedge fund, investment manager, sell-side trading desk, or similar
• Experience in systematic credit is a plus
• A strong understanding of statistics/ML and the ability to apply this to real world problems
• Strong programming ability in at least one language and the ability to write clear, well documented, and scalable code
• The ability to write clear, concise, and informative technical reports and proposals. The ability to discuss and present complex ideas in an intuitive, easy to follow way