Quantitative Research Analyst

Quantitative Research Analyst

As one of our Quantitative Research Analysts, you will engage in our investment decision process by conducting quantitative research and analysis. With a focus on global equity markets, you connect quantitative theoretical frameworks, including portfolio construction and risk and stock selection, to Capital Group's fundamental research-driven investment process. You'll partner with portfolio managers, analysts, macroeconomists, and other analytical teams. You enjoy engaging with investors on their key investment views and approaches through written insights and direct interaction.

You are well-versed in mathematical concepts, financial topics, and coding. You demonstrate a strong understanding of quantitative research and quantitative methods including non-stationary statistics, time series analysis, factor models, dimension reduction, discrete and continuous optimization, and machine learning techniques. Experience in fixed income markets would be valued. Your experience and insight will contribute to the evolving development of our quantitative research and analytics.

You will develop and communicate investment insights and recommendations on a regular basis, and you'll proactively refine your process and presentation. You find joy in discovering new ways of dissecting and visualizing data. You embrace collaboration and regularly contribute to group discussions.

As part of a global team, you demonstrate a strong commitment to collaborative problem-solving, as a participant and a leader.

You are excited about the opportunity to help extend the Quantitative Research and Analytics European presence in Capital Group's London office.

You have a detailed knowledge of equity financial markets and analytics with a minimum of 10 years of relevant experience. Knowledge of fixed income markets is also preferred.

You have a Master of Science, Master of Economics, and/or a PhD in a mathematically robust discipline; econometrics, mathematical finance, statistics, physics, or equivalent; a record of written research is strongly preferred.

You have a strong consulting and relationship-building skill set and have demonstrated the ability to engage with investment professionals, communicate in multiple formats/forums, and deliver solutions that address business needs.

You have command of the strengths, weaknesses and implementation issues related to standard investment management analytical measures and techniques.

You are self-motivated with the ability to work independently, as well as collaboratively with others and the ability to foster a teamwork-oriented environment.

You have experience modeling using Python, R, SQL or comparable languages to explore areas of financial theory and practice.

You are exceptionally curious. Your research process is balanced due to your open mind and critical thinking. You're an avid reader and a deep thinker.

You've found that stepping out of your comfort zone opens the door to innovation. You're open to constructive opinions and are always looking to improve your work product.

You humbly and enthusiastically communicate your findings and recommendations.

You have clear goals and are exceptionally organized. This foundation allows you to demonstrate composure under pressure. Your detail orientation and accuracy are consistent and dependable.

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, 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 federal, state or local law.

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