Trader/Quant Analyst
At a glance
Mid-level Data Science role at Point72. Stamford · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Find relative-value trades across convertible bonds, their underlying shares and credit derivatives
- Trade convertibles, related equities and hedges, then adjust open positions as pricing, liquidity or sentiment shifts
- Analyze convertible pricing data and model outcomes across credit, rates, volatility and equity scenarios
- Build front-office tools for trade ideas, execution choices and risk oversight; track daily P&L and explain its drivers
- Set position sizes with portfolio and risk teams, hedge exposures and share trade insights with colleagues and counterparties
What you bring
- At least three years trading convertible bonds, with quantitative or programming ability
- A bachelor’s degree in finance, economics, mathematics, engineering or a related area
- Knowledge of credit markets, bond math, equity derivatives and volatility, plus experience modeling convertibles across scenarios
- Strong quantitative analysis, Excel skills and at least one programming language such as Python, R or VBA
Who this fits
This role suits someone who combines hands-on convertible trading with quantitative analysis and risk management. You’ll work with portfolio managers, risk colleagues, traders and analysts, while maintaining contact with sell-side counterparties.
From the employer
Summary
We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space.
Role/Responsibilities:
- Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives.
- Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters.
- Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment.
- Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation.
- Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity.
- Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management.
- Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits.
- Track and analyze P&L drivers on a daily basis and provide attribution reports.
- Hedge exposures dynamically using equity, credit, and derivative instruments.
- Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies.
- Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution.
Requirements:
- Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred.
- 3+ years of experience in convertible bond trading with a quant/programming skillset.
- Strong understanding of credit markets, bond math, equity derivatives, and volatility analysis.
- Proficiency in modeling convertible securities and scenario analysis.
- Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb).
- Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required.
- Excellent communication skills and ability to work in a fast-paced, team-oriented environment.
- Commitment to the highest ethical standards.
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