Quantitative Portfolio Analyst

Wright Research is a quantitative investment management firm building data-driven investment strategies using cutting-edge models and factor frameworks. We combine rigorous research, technology, and execution discipline to deliver superior outcomes to our clients.

Quant Portfolio Analyst

Portfolio Modeling & Tracking

• Build and refine models to manage live trading portfolios.
• Ensure tracking error remains within defined limits relative to the ideal/benchmark portfolio.
• Optimize for portfolio efficiency while minimizing slippage and transaction costs.

Execution & Transaction Cost Analysis

• Develop and improve models for optimal execution across instruments.
• Analyze transaction cost data and design strategies to reduce market impact.

Data Analysis & Research

• Conduct in-depth analysis of portfolio performance, exposures, and risk factors.
• Explore new factors, signals, and frameworks to enhance alpha generation.
• Support model validation, backtesting, and performance attribution.

Portfolio Monitoring & Reporting

• Contribute to daily monitoring of fund flows, exposures, and compliance with guidelines.
• Build tools and dashboards for real-time performance and risk monitoring.
• Prepare research notes, insights, and presentations for the investment team.

• Strong academic background in

  Finance, Economics, Statistics, Mathematics, Computer Science, or related field

  .
• 1–3 years of relevant experience in quantitative research, portfolio analytics, or execution modeling (internship/research experience may be considered).
• Proficiency in

  Python, R, or other quantitative programming languages

  ; strong data handling and visualization skills.
• Solid understanding of

  financial markets, portfolio theory, risk models, and factor investing

  .
• Knowledge of

  execution algorithms, TCA (transaction cost analysis), and market microstructure

  is a plus.
• Ability to work with large datasets, conduct statistical analysis, and design systematic frameworks.
• Strong problem-solving skills, attention to detail, and ability to work in a collaborative, fast-paced environment.

• Exposure to cutting-edge quant strategies and portfolio management practices.
• Opportunity to work closely with senior leadership in a fast-growing quant investment firm.
• A culture that values innovation, intellectual curiosity, and rigorous research.