Mesirow is an independent, employee-owned financial services firm founded in 1937. Headquartered in Chicago, with offices across the country, Mesirow serves clients through capabilities spanning Private Capital & Currency, Capital Markets and Investment Banking, and Advisory Services.
The role of the Quantitative Analyst is to evaluate and analyze currency markets. This includes quantitative financial analysis and in-depth knowledge of financial modeling.
DESCRIPTION
We are seeking a highly motivated Quantitative Researcher to join our Currency group. The role involves conducting cutting-edge research on global FX markets, designing and implementing systematic trading strategies, and contributing to the development of robust financial models and research infrastructure. You will collaborate closely with portfolio managers, traders, and technology teams to generate new investment ideas and deliver innovative solutions in a fast-moving environment.
This position is open to both experienced researchers and recent PhD graduates with a strong quantitative background, proven programming ability, and a passion for applying advanced analytics to global markets.
PRIMARY DUTIES AND RESPONSIBILITIES
- Conduct quantitative research and analysis of global currency markets
- Design, develop, and maintain financial models to support market analysis and trading strategies
- Build and enhance systematic platforms in multiple programming languages, replicating existing models to validate performance and integrating new models for evolving market conditions
- Generate and refine new investment ideas, including structured products and other innovative solutions for the Currency group
- Prepare and deliver clear presentation materials for clients and senior management
- Collaborate on the development and enhancement of research infrastructure, systematic processes, and trading tools, partner closely with traders, portfolio managers, and technology teams to translate research insights into executable strategies
- Support ad hoc projects and strategic initiatives as required
QUALIFICATIONS
- PhD or advanced degree in econometrics, mathematics, statistics, machine learning, or a related quantitative field
- Strong programming skills in Python with demonstrated experience handling and analyzing large datasets, experience with scientific computing libraries (NumPy, pandas, SciPy, TensorFlow/PyTorch), familiarity with cloud environments, distributed computing, or database technologies (SQL)
- Knowledge of foreign exchange products, including spot, forwards, NDFs, swaps, and options
- Background in developing and enhancing research, with proven record of independent research, evidenced by publications in top journals and presentations at leading conferences
- Leverage machine learning to extract predictive signals from structured and unstructured financial datasets, including the development of end-to-end ML pipelines
- Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
EOE
