Position SummaryTCWQuantitative ResearchTeamdevelops models,algorithms, andtools used to driveand supportsystematic andfundamental investment strategies. The team supports investment teams and traders across all asset classes to integrate data-driven insights and quantitative techniques into the investment process.
The Quantitative Fixed Income Researcher role is highly collaborative, working closely with senior quantitative researchers,the head of quantitative research to design, test, and implement models andinvestmentstrategies. By analyzing a diverse range of financial and economic data, the researcher leverages statistical, machine learning, and econometric techniques to enhance our investment process.The role partners closely with fixedincome investment teams to support investment thesis development and enhance alpha generation, while clearly communicating research findings to a wide range of stakeholders and staying current on relevant academic literature and market developments.
Essential Duties
- Lead quantitative research on fixedincomeproducts in private and public markets.
- Thought partner to PMsand integrateresearch outputsintoinvestmentprocess
- Enhance fixed-incomeaspectsof TCW92s multi-asset, multi-factor framework.
- Own research streams endtoend (idea12back tests12production12monitoring).
- Review, challenge, and improve model assumptions, data quality, and robustness.
- Set research priorities jointly withthe head of quantitative research.
- Contribute to research standards, documentation, and best practices.
- Mentor and review work of junior quants.
- Communicate complex quantitative results clearly to PMs, traders, risk, and leadership.
Required Qualifications
- Deep experience in fixed income markets and instruments, both public and private.
- Advanced trainingin Mathematics, Statistics, Physics, Computer Science,Econometrics,Finance,or another highly quantitative field.MSc or equivalent.
- Minimum5 years ofwork experiencewithfixed-income productswithstrongemphasis on quantitative methods.
- Experience with factor models and portfolio optimization techniques in fixed income.
- Extensive experience in coding in Python.
Professional Skills Qualifications
- Experiencewithin a quantitativehedge fund orassetmanager highly desired; equivalently, sell-side fixed-income research with published research pieces.
- Experience in modern versioncontrolled research environments, i.e. git and docker.
- Familiarity withagentic coding (e.g. ClaudeCode or similar).
- Strong knowledge of probability and statistical techniques (e.g. time-series, cross-sectional and panel regressions, CART models, ensemble learning, dynamic factor models, Monte Carlo methods, Copula models, GARCH/stochastic volatility models)
Desired Qualifications
- Experience with private credit and securitized products would be a strong plus.
- Expertise intheapplication of factor investing in fixed income would be a plus.
Estimated Compensation:
Base Salary: For CA based position, the base salary range is $150k to $175k. This is an anticipated range only.
Other Compensation: Eligible to be considered for an annual discretionary bonus
Benefits: Eligible for TCW92s comprehensive benefits package.
#LI-SW1
