Investment Risk Senior Associate

JCW Group; Chicago (IL); Hybrid; USD 130,000 - 190,000; Full time

Job summary

JCW in Chicago is seeking an Investment Risk professional to join its team on a hybrid schedule with in-office presence three days a week. The role involves building and maintaining quantitative risk models for hedge fund investments, including factor decomposition, stress testing, and scenario analysis.

You will contribute to risk and portfolio construction analyses to support manager evaluation and investment decisions, while monitoring risk exposures and market trends relevant to specific

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics or Financial Engineering, or equivalent technical experience
• 3 to 7 years of experience in investment analysis, risk management or asset allocation; exposure to hedge fund or absolute return strategies preferred
• Proficiency in Python and hands-on experience with large structured datasets (e.g. SQL, data lake environments)

Responsibilities

• Build and maintain quantitative risk models and analytics for evaluating hedge fund investments, including factor and alpha decomposition, stress testing and scenario analysis
• Contribute to risk and portfolio construction analysis to support manager evaluation and investment decisions
• Monitor and interpret risk exposures, factor trends and market conditions relevant to specific hedge fund strategies
• Design and deliver risk and performance reporting for internal stakeholders and investor transparency requests, including polished presentation materials

Skills

Python

SQL

Data Lake

Education

Bachelor’s or Master’s degree in a quantitative field

Job description

JCW is currently working on behalf of a leading alternative asset manager that’s looking to hire an Investment Risk professional to join their Investment Risk team. Working closely with portfolio managers and the Investment Committee, this position will use quantitative risk analysis, including alpha decomposition, stress testing and optimization, to inform manager evaluation, position sizing and asset allocation across the firm’s hedge fund platform. The team has already built its core risk models and reporting infrastructure, but there is real scope to evolve and expand them, and the role carries significant autonomy. This position will be hybrid in-office three days a week.

Key responsibilities:

• Build and maintain quantitative risk models and analytics for evaluating hedge fund investments, including factor and alpha decomposition, stress testing and scenario analysis
• Contribute to risk and portfolio construction analysis to support manager evaluation and investment decisions
• Monitor and interpret risk exposures, factor trends and market conditions relevant to specific hedge fund strategies
• Design and deliver risk and performance reporting for internal stakeholders and investor transparency requests, including polished presentation materials
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics or Financial Engineering, or equivalent technical experience
• 3 to 7 years of experience in investment analysis, risk management or asset allocation; exposure to hedge fund or absolute return strategies preferred
• Proficiency in Python and hands‑on experience with large structured datasets (e.g. SQL, data lake environments)
• Strong written, verbal and presentation skills, with the ability to translate technical analysis into clear conclusions for investment committees and clients

We aim to be an equal opportunity recruiter and we are determined to ensure that no applicant receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements.