Portfolio Manager, Quantitative

The Role

Farther's asset management team (FAM) manages a growing suite of systematic investment strategies and is expanding into options-based overlays. We're looking for a quantitatively-minded Investment Associate to help design, research, and build out this capability from the ground up.

You will work closely with experienced PMs across equity and fixed income to apply derivatives-based overlays across those strategies—covered calls, collars, protective puts—and use Python to research and systematize everything you build. Over time, you'll be a key voice in translating that work into a scalable platform alongside our product and engineering teams.

Responsibilities

• Research, prototype, and back test options overlay strategies in Python—covered calls, cash-secured puts, collars, and protective overlays—with realistic assumptions for transaction costs, liquidity, and taxes across SMA accounts
• Support PMs across equity and fixed income verticals by designing and applying derivatives-based overlays suited to each asset class
• Maintain research code, data pipelines, and analytics supporting systematic strategy design—signal construction, parameter sweeps, scenario and regime analysis
• Evaluate new overlay ideas (income generation, hedging, outcome-oriented strategies) and communicate trade-offs clearly to internal stakeholders
• Partner with product managers and engineers to convert manual workflows and research into scalable platform capabilities—strategy engines, trade generation, risk dashboards, 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 at a buy-side firm, asset manager, fintech, or financial services company
• Solid Python skills for research and analytics—data pulls, optimization, back testing, risk metrics, and clean, maintainable codebases
• Strong mathematical foundation: operations research, statistics, or quantitative finance background
• Experience working with SMAs or systematic investment strategies at scale—understanding of multi-account implementation, portfolio construction, and associated operational complexity
• Comfortable collaborating with technical product and engineering teams and thinking in terms of systems and workflows
• Clear communicator who can explain quantitative concepts to non-technical stakeholders (advisors, product, operations, leadership)

Qualifications

• Curious, self-directed, and comfortable operating in lean environments—figure things out and don't wait to be told what to do

Skills

• Familiarity with options, Greeks, volatility surfaces, or derivatives-based strategies—even if not from a live trading context
• Experience specifically with fixed income or equity SMAs—multi-account implementation, tax-aware trading, lot-level considerations
• Prior exposure to portfolio management, risk, or trading platforms (OEMS, risk systems, SMA overlay engines)
• Familiarity with custodian or brokerage platforms used by advisors (e.g., Schwab, Fidelity)

Benefits

• Competitive comp package that rewards impact
• Work alongside some of the brightest minds in fintech
• Ground-floor opportunity at a fast-scaling startup
• Chart your own growth path as we expand
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO