Solutions Analyst, Capital Markets Research

Capital Group; Los Angeles (CA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Time away and health benefits from day

2-for-1 matching gifts for charitable

On-demand professional development

Job summary

Capital Group is seeking a Solutions Analyst - Capital Markets Assumptions (CMA) to advance its long‑ horizon CMA framework across global asset classes. You will translate deep investment research into forward-looking assumptions for asset allocation, portfolio construction, and risk analysis, collaborating with investment teams and data partners.

The role blends quantitative research with fundamental judgment, leveraging AI thoughtfully while delivering robust, explainable CMA outputs for

Qualifications

• 5+ years of relevant investment research experience is preferred.
• Experience researching global capital markets across asset classes and currencies.
• Ability to translate quantitative analysis into practical investment assumptions.

Responsibilities

• Develop and maintain long-term capital markets assumptions across global asset classes.
• Estimate returns, risk, correlations for asset allocation and multi-asset research.
• Combine quantitative methods with fundamental insights to enhance CMA framework.
• Research drivers of asset-class returns, including valuations, inflation, rates, currencies.
• Collaborate with investment professionals to incorporate bottom-up perspectives into CMA research.

Skills

Time-series analysis

Econometric models

Quantitative analysis

Communication to stakeholders

Asset-class research

Education

Bachelor's degree in a relevant field

Tools

Python

R

SQL

Matlab

Job description

Capital Group is seeking a Solutions Analyst - Capital Markets Assumptions (CMA) to advance its long‑ horizon CMA framework across global asset classes. You will translate deep investment research into forward-looking assumptions for asset allocation, portfolio construction, and risk analysis, collaborating with investment teams and data partners.

The role blends quantitative research with fundamental judgment, leveraging AI thoughtfully while delivering robust, explainable CMA outputs for