Portfolio Manager, Quantitative

The Role

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

This isn't a seat where you'll be handed a mandate and left to trade. You'll 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.

Your Impact

• 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
• Monitor portfolio-level Greeks, exposures, and risk/return outcomes across many smaller accounts within rules-based risk parameters
• Build and maintain research code, data pipelines, and analytics supporting systematic strategy design — signal construction, parameter sweeps, scenario and regime analysis
• Translate research into clear, rules-based strategy specifications and playbooks that can be implemented consistently at scale
• 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

The Ideal Match

• 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
• Curious, self-directed, and comfortable operating in lean environments — you figure things out and don't wait to be told what to do
• Clear communicator who can explain quantitative concepts to non-technical stakeholders (advisors, product, operations, leadership)

Bonus Points

• 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)
• Experience at a fintech or RIA where technology and investment management intersect
• Familiarity with custodian or brokerage platforms used by advisors (e.g., Schwab, Fidelity)

Why Join Us 

• 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

Ready to disrupt wealth management? Let's talk!

The Role

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

This isn't a seat where you'll be handed a mandate and left to trade. You'll 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.

Your Impact

• 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
• Monitor portfolio-level Greeks, exposures, and risk/return outcomes across many smaller accounts within rules-based risk parameters
• Build and maintain research code, data pipelines, and analytics supporting systematic strategy design — signal construction, parameter sweeps, scenario and regime analysis
• Translate research into clear, rules-based strategy specifications and playbooks that can be implemented consistently at scale
• 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

The Ideal Match

• 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
• Curious, self-directed, and comfortable operating in lean environments — you figure things out and don't wait to be told what to do
• Clear communicator who can explain quantitative concepts to non-technical stakeholders (advisors, product, operations, leadership)

Bonus Points

• 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)
• Experience at a fintech or RIA where technology and investment management intersect
• Familiarity with custodian or brokerage platforms used by advisors (e.g., Schwab, Fidelity)

Why Join Us 

• 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

Ready to disrupt wealth management? Let's talk!