The Risk Research, Analysis, and Measurement team (RAM) provides independent quantitative investment risk measurement and analysis at Capital Group, globally and across asset classes. RAM plays a pivotal role in supporting investment results and risk management processes and shaping the use of risk analytics at Capital Group.

I can shape the future of risk analytics at Capital Group as a Quantitative Analyst.

As a member of the Quantitative Research and Analytics group (QRA) at Capital Group (CG), you\'ll conduct rigorous peer-reviewed, quantitative research and analysis. As an Analyst in RAM, you will work in a highly collaborative team to drive our investment risk research, strengthen our risk assessment framework, enhance scenario analysis capabilities, and provide actionable risk insights that empower investment leaders. You\'ll act as a leader within the QRA team and share in the responsibility for developing the QRA organization and guiding others within the team.

In this role you will:

• Drive Risk Research & Analysis - Develop and enhance risk methodologies and frameworks, monitoring processes, and portfolio risk assessments across equity, fixed income, and multi-asset strategies.
• Deliver Actionable Insights - Conduct quantitative and qualitative analyses to inform investment risk decisions, proactively identifying new ways to evaluate risk.
• Influence Risk Oversight & Investment Process - Work closely with investors and investment governance bodies to understand and incorporate risk metrics and methodologies in the Capital System.
• Drive Innovation & Collaboration - Partner with business management teams, client group, and technology teams to develop tools, frameworks, and strategic initiatives that advance risk capabilities.
• Enhance Risk Transparency & Alignment - Represent Capital Group\'s risk practices in internal and external meetings, educate stakeholders on risk methodologies, and ensure alignment with industry standards.
• Grow as a Leader - Act as a thought leader within RAM and the QRA group, stay up to date with academic and industry research, mentor colleagues, and drive organizational growth.

• You have a minimum of 10 years of relevant experience in investment risk research, analysis, and modeling.
• You hold an advanced degree (MFE, MSc, PhD) in Economics, Finance/Financial Engineering, Statistics, Mathematics, or a related quantitative discipline.
• You are an expert researcher with a track record of innovation in quantitative risk research, comfortable exploring unsolved questions and new directions with discipline and clarity.
• You demonstrate strong risk modeling experience and empirical skills using investment risk analytical platforms (eg, MSCI BarraOne, BlackRock Aladdin), statistical packages (eg, R), and coding languages (eg, Python).
• You are a clear and strategic thinker who can anticipate emerging risks and translate complex analysis into actionable recommendations.
• You are a collaborative leader who thrives in agile cross-functional teams and can influence stakeholders at all levels.
• You are a creative problem solver with a proactive approach, always seeking new ways to enhance risk analysis.
• You are a strong and open communicator who can distill complex risk insights into compelling narratives for investment and oversight teams.
• You will invest in our culture and core values.

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you will be eligible for an individual annual performance bonus, plus Capital\'s annual profitability bonus and a retirement plan where Capital contributes 15% of eligible earnings. You can learn more about our compensation and benefits here.

Temporary positions in Canada and the United States are excluded from the above compensation and benefit plans.

We are an equal opportunity employer. We comply with all federal, state, and local laws that prohibit discrimination in making employment decisions. Our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking, or any other characteristic protected by law.