# Trader/Quant Analyst at Point72

> United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Apoint72%3A8375066002 (read 2026-11-07).

## Facts (observed)

- Company: [Point72](https://alderhq.app/companies/point72)
- Location text: Stamford, New York; New York, NY
- Where it can be done from (inferred): United States (evidence: "Location: Stamford, New York; New York, NY")
- Posted: 2026-01-14 (297 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://boards.greenhouse.io/point72/jobs/8375066002?gh_jid=8375066002
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 2353): p25 $75k, median $120k, p75 $175k
- H-1B filings at this company for similar roles, FY26: 11, median offered wage $300k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apoint72%3A8375066002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.