Portfolio Quant Developer

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

Farther’s founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. We’re backed by top-tier venture capital firms, fintech investors, and industry leaders.

Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you’re the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.

Farther's trading team is building institutional-grade portfolio management and order management infrastructure — the kind that handles $100B+ in AUM across thousands of client accounts. We're looking for a Quant Portfolio Developer who can own the analytics layer: account performance, cost basis, risk modeling, and the quantitative foundation that makes sophisticated execution possible. You'll work closely with a small team of trading engineers and specialist contractors to build systems that didn't exist before.

• Build optimized Python analytics for portfolio measurement at scale — supporting multi-asset books across tens to hundreds of billions in AUM
• Own cost basis, holdings, and transaction data integrity — ingesting custodian data and calculating portfolio returns accurately
• Model portfolio risk across asset classes, including factor, duration, curve, spread, convexity, beta, and options risk exposures
• Support portfolio construction logic and multi-asset allocation workflows
• Contribute to execution algorithm development — including market impact measurement and VWAP-style execution analytics

• 3–10 years in portfolio performance, analytics, or construction
• Deep familiarity with the trade lifecycle: holdings, transactions, corporate actions, cost basis, and reconciliation
• Multi-asset class experience: equities, fixed income, munis, alternatives, and options
• Fixed income fundamentals: duration, key-rate duration, spread risk, carry/roll, and laddered or optimized bond construction
• Derivatives-aware portfolio construction: delta-based exposures, overlays, and options-related risk measures
• Strong Python — comfortable in Jupyter-centric research workflows for exploratory analysis, back-testing, and rapid prototyping

• AWS experience
• Experience with PMS or OMS platforms (e.g., Black Diamond, Advent, Charles River)
• Background at a custodian (Schwab, Fidelity) or trading house — you've seen this problem from the other side
• Familiarity with Black-Litterman, shrinkage estimators, robust optimization, or Bayesian approaches to portfolio construction
• Familiarity with hierarchical risk parity, equal risk contribution, or other modern allocation frameworks