Portfolio Manager, Options & Derivatives
Research and build systematic options overlays across equity and fixed-income strategies, using Python to backtest, monitor risk, and translate quantitative research into scalable portfolio-management workflows. The role requires 10+ years of quantitative or systematic investment experience and strong collaboration with product and engineering teams.
About the job
Responsibilities
- Research, prototype, and backtest options overlay strategies in Python, including covered calls, cash-secured puts, collars, and protective overlays, using realistic transaction-cost, liquidity, and tax assumptions across SMA accounts.
- Support equity and fixed-income portfolio managers by designing and applying derivatives-based overlays.
- Monitor portfolio-level Greeks, exposures, and risk/return outcomes across rules-based, multi-account portfolios.
- Build and maintain research code, data pipelines, and analytics for systematic strategy design, including signal construction, parameter sweeps, scenario analysis, and regime analysis.
- Translate research into clear, rules-based strategy specifications and scalable implementation playbooks.
- Evaluate overlay ideas for income generation, hedging, and outcome-oriented strategies, and communicate trade-offs to stakeholders.
- Partner with product managers and engineers to convert manual workflows and research into platform capabilities, including strategy engines, trade generation, risk dashboards, and monitoring tools.
- Support daily P&L, risk, and performance monitoring, including exception handling for unusual portfolio events.
Requirements
- 10+ years of experience in quantitative research, investment analytics, systematic strategies, or a closely related role in buy-side, asset management, fintech, or financial services.
- Strong Python skills for research and analytics, including data pulls, optimization, backtesting, risk metrics, and maintainable codebases.
- Strong mathematical foundation in operations research, statistics, or quantitative finance.
- Experience with SMAs or systematic investment strategies at scale, including multi-account implementation, portfolio construction, and operational complexity.
- Ability to collaborate with technical product and engineering teams and think in terms of systems and workflows.
- Self-directed approach and comfort working in lean environments.
- Clear communication skills, including the ability to explain quantitative concepts to non-technical stakeholders.
Nice-to-haves
- Familiarity with options, Greeks, volatility surfaces, or derivatives-based strategies.
- Experience with fixed-income or equity SMAs, including multi-account implementation, tax-aware trading, and lot-level considerations.
- Exposure to portfolio management, risk, or trading platforms such as OEMS, risk systems, or SMA overlay engines.
- Experience at a fintech or RIA where technology and investment management intersect.
- Familiarity with advisor custodian or brokerage platforms such as Schwab or Fidelity.
Compensation and Benefits
- Competitive compensation package.
- Full health benefits.
- 401(k) matching and Roth IRA options.
- Unlimited PTO.
Skills
Python, Options, Greeks, Volatility Surfaces, Backtesting, Portfolio Construction, Quantitative Finance, Statistics, Operations Research, Data Pipelines, Risk Metrics, Scenario Analysis, Fixed Income, Equity Smas, Tax-Aware Trading
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