Portfolio Manager, Quantitative

Farther

Completely RemoteFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Research, prototype, and back test options overlay strategies in Python
  • Support PMs across equity and fixed income verticals by designing and applying derivatives-based overlays
  • Monitor portfolio-level Greeks, exposures, and risk/return outcomes
  • Build and maintain research code, data pipelines, and analytics supporting systematic strategy design
  • Translate research into clear, rules-based strategy specifications and playbooks
  • Evaluate new overlay ideas and communicate trade-offs to internal stakeholders
  • Partner with product managers and engineers to convert research into scalable platform capabilities
  • Support daily P&L, risk, and performance monitoring

Requirements

  • 10+ years of experience in quantitative research, investment analytics, or systematic strategies
  • Solid Python skills for research, analytics, and back testing
  • Strong mathematical foundation in operations research, statistics, or quantitative finance
  • Experience working with SMAs or systematic investment strategies at scale
  • Ability to collaborate with technical product and engineering teams
  • Clear communicator capable of explaining quantitative concepts to non-technical stakeholders

Preferred Qualifications

  • Familiarity with options, Greeks, volatility surfaces, or derivatives-based strategies
  • Experience with fixed income or equity SMAs
  • Prior exposure to portfolio management, risk, or trading platforms
  • Experience at a fintech or RIA
  • Familiarity with custodian or brokerage platforms like Schwab or Fidelity

Benefits

  • Competitive compensation package
  • Full health benefits
  • 401(k) matching and Roth IRA options
  • Unlimited PTO

About the Company

Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology to deliver a comprehensive, tailored wealth management experience.

Skills & tools

PythonFinanceOptions

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0110+ years quantitative research experience
  2. 02Proficiency in Python
  3. 03Strong mathematical foundation
  4. 04Experience with SMAs or systematic strategies
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