Quantitative Researcher - Credit Algo Trading (VP)
Selby Jennings - New York, New York, us, 10261
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Quantitative Researcher - Credit Algo Trading (VP)
This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $250,000.00/yr Direct message the job poster from Selby Jennings Vice President - Quant Research & Trading Headhunter- Specialist in placing Systematic PMs, QRs, pricing and execution quants with leading Hedge…
Quantitative Researcher - Credit Algo Trading (VP) We are partnered with a top Investment Bank franchise in Credit Algorithmic Trading. As the business continues to expand, the Algo QR team is adding headcount and investing in top-tier talent to drive the next phase of growth. This is a high-impact opportunity to work on cutting-edge models and infrastructure that power automated trading in corporate bond markets. This role is central to building and enhancing their automated market-making capabilities. You will develop advanced algo pricing models, analytics libraries, and risk frameworks to support auto-quoting and RFQ workflows in a fast-paced electronic trading environment Key Responsibilities: Design and implement algorithmic pricing models for credit trading using numerical techniques such as Monte Carlo simulations and PDE solvers. Build and maintain analytics libraries for pricing, risk management, and automated market making. Analyze financial time series and market data to extract actionable insights for trading strategies. Collaborate closely with Traders, Structurers, Technologists, and Control Functions (Legal, Compliance, Risk, Audit). Ensure robust governance and risk management practices in all model development and deployment. Utilize Python and kdb+/q extensively for research, prototyping, and production implementation of trading algorithms. Required Qualifications: PhD strongly preferred in Mathematics, Physics, Computer Science, or a related STEM/quantitative field. Deep expertise in both kdb+/q and Python - this is a non-negotiable requirement. 4-10 years of experience in quantitative modeling or analytics, ideally within financial markets.
Strong programming skills in Python, kdb+/q, and familiarity with C++, C#, .NET, SQL. Solid understanding of statistics, probability theory, and numerical methods. Experience with credit algo trading or electronic trading analytics is preferred. Candidates from equities e-trading or central risk book (CRB) backgrounds will also be considered if they meet the PhD and technical requirements. Additional Highlights: Work on auto-quoting and RFQ systems for corporate bond trading. Help shape the future of automated market making in credit markets. Exposure to a wide range of technologies and quantitative techniques. High visibility and collaboration across trading, risk, and technology teams. Strong emphasis on responsible finance, governance, and ethical decision-making.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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