Portfolio Quant Developer

Farther

$120K — $180K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-10 years in portfolio performance, analytics, or construction
  • Deep understanding of trade lifecycle including corporate actions and reconciliation
  • Experience with multi-asset classes: equities, fixed income, munis, alternatives, and options
  • Knowledge of fixed income fundamentals: duration, spread risk, and optimized bond construction
  • Familiarity with derivatives in portfolio construction and risk measures
  • Proficient in Python for analytical workflows and back-testing

Responsibilities

  • Develop Python analytics for portfolio measurement at large scale
  • Ensure integrity of cost basis, holdings, and transaction data
  • Model portfolio risk across various asset classes
  • Support portfolio construction and multi-asset allocation processes
  • Contribute to development of execution algorithms and market impact analytics

Benefits

  • Unique opportunity to build trading infrastructure from the ground up
  • Attractive compensation tied to personal and company performance
  • Collaborate with leading talents in the fintech industry
  • Opportunities for personal growth as the company expands
  • Comprehensive health benefits along with 401(k) matching and Roth IRA options
  • Unlimited paid time off (PTO)
Full Job Description
The Role

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.

Your Impact
  • 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

The Ideal Match
  • 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

Bonus Points
  • 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

Why Join Us
  • Ground-floor opportunity to build institutional trading infrastructure - from scratch, at real scale
  • Competitive comp package that rewards impact
  • Work alongside some of the brightest minds in fintech
  • Chart your own growth path as we scale
  • Full health benefits + 401(k) matching & Roth IRA options
  • Unlimited PTO

Ready to disrupt wealth management? Let's talk!

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