Quantitative Research Analyst - Investment Solutions

Job Summary:

Join a high-impact team shaping the future of investment analytics and suitability risk management. Leverage your quantitative expertise to develop innovative models and analytical frameworks. Be part of a collaborative environment where your insights directly influence investment decisions.

As a Quantitative Research Analyst within the Investment Solutions Data, Analytics & Modeling team, you will develop and enhance analytical tools to estimate investment risk and product suitability. You will collaborate with global partners to implement model improvements and ensure robust governance and performance monitoring. Your work will drive data-driven decision-making and support the evolution of next-generation investment/suitability models.

Job Responsibilities: 

• Collaborate with a team of quantitative researchers to develop analytical tools to estimate Investment Risk and evaluate suitability of the product for the clients. 

• Propose model enhancements and demonstrate its conceptual soundness via rigorous back-testing. 

• Partner with Technology to design and implement cost-effective model changes, and conduct implementation testing, 

• Onboard new product categories.

• Update market data and recalibrate models regularly ; liaise with Governance teams to secure necessary approvals.

• Monitor model performance on a routine basis.

• Conduct ad-hoc quantitative research and analyses.

• Manage multiple priorities in a dynamic professional environment.

 

Required qualifications, capabilities, and skills: 

• Demonstrate 1+ years of experience in portfolio risk analytics and asset management.
• Apply strong quantitative modeling and time series analysis skills.
• Exhibit knowledge of equity, fixed income, and alternative investment products.
• Hold a graduate degree in a quantitative discipline such as Math, Statistics, Finance, Economics, or Engineering.
• Utilize programming skills in Python and SQL, with a willingness to learn new tools.
• Manage financial data handling, retrieval, and modeling tasks effectively.
• Communicate complex concepts clearly in both written and verbal formats.

 

Preferred qualifications, capabilities, and skills: 

• Attain CFA or FRM certification at any level.
• Employ R language skills for quantitative analysis.
• Adapt quickly to new analytical tools and technologies.