Quantitative Researcher — Portfolio Construction — Austin

Anemoi Predictive Technology LLC.

Austin (TX)

Remote

USD 185,000 - 255,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision
401(k) plan with company matching
Flexible PTO and holidays
Parental and caregiver leave
Learning, conference, and development
Remote-work equipment and home-office
Bonus and equity eligibility

Job summary

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher – Portfolio Construction based in the Austin, TX area. You will build portfolio methods translating research signals into controlled exposures, with Central Time collaboration between quantitative research, engineering, and trading operations.

Responsibilities include allocation methods, portfolio constraints, turnover controls, and stress diagnostics, ensuring reproducible experiments and production discipline.

Qualifications

  • Experience with portfolio optimization and risk models.
  • Strong numerical Python and optimization skills.
  • Ability to explain model tradeoffs to researchers and traders.

Responsibilities

  • Develop allocation and risk-budgeting methods.
  • Model factor, sector, liquidity, and concentration constraints.
  • Measure turnover, capacity, and stress behavior.
  • Create transparent diagnostics for portfolio decisions.
  • Own portfolio constraints, exposure diagnostics, and stress review during Central Time collaboration between quantitative research, engineering, and trading operations.

Skills

Portfolio optimization
Risk models
Python
Optimization

Job description

Anemoi is hiring a fully remote Quantitative Researcher — Portfolio Construction based in the Austin, TX area to build portfolio methods that translate research signals into controlled exposures. The opening is designed for Central Time collaboration between quantitative research, engineering, and trading operations.

Compensation and Benefits

Base salary: $185,000–$255,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Austin, TX area
Experience: 4+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

This opening gives the Austin, TX hire responsibility for allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics, with operating coverage focused on Central Time collaboration between quantitative research, engineering, and trading operations. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Austin Operating Focus

The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. This opening sits at the boundary between research ideas and production systems. Experiments must be reproducible, data lineage must remain visible, and a promising result does not bypass release controls. Central Time overlap supports direct work with both coasts, while written design records keep asynchronous review effective. For this role, that means direct ownership of portfolio constraints, exposure diagnostics, and stress review during Central Time collaboration between quantitative research, engineering, and trading operations.

First Review Cycle

The first review cycle for Austin, TX starts with Central Time collaboration between quantitative research, engineering, and trading operations. It will establish a measured baseline for portfolio constraints, exposure diagnostics, and stress review before the team proposes an operating change. The review joins two pieces of work: Develop allocation and risk-budgeting methods; and Model factor, sector, liquidity, and concentration constraints. The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. You will document where the results agree, where they differ, and what needs another test. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics.

Responsibilities
  • Develop allocation and risk-budgeting methods
  • Model factor, sector, liquidity, and concentration constraints
  • Measure turnover, capacity, and stress behavior
  • Create transparent diagnostics for portfolio decisions
  • Own portfolio constraints, exposure diagnostics, and stress review during Central Time collaboration between quantitative research, engineering, and trading operations.
Required Qualifications
  • Experience with portfolio optimization and risk models
  • Strong numerical Python and optimization skills
  • Ability to explain model tradeoffs to researchers and traders
Preferred Qualifications
  • Experience with transaction-cost-aware optimization and scenario analysis
  • Knowledge of production controls for constrained portfolios
  • Experience collaborating across time zones while maintaining the operating coverage assigned to the Austin, TX opening.
Benefits
  • Medical, dental, and vision plan options with substantial company support
  • 401(k) plan with company matching
  • Flexible paid time off and company holidays
  • Paid parental and caregiver leave
  • Annual learning, conference, and professional-development budget
  • Remote-work equipment and home-office support
  • Performance-bonus and equity eligibility based on role and level

Benefits are subject to plan terms and eligibility requirements.

Equal Opportunity

Anemoi provides equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.

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