Quantitative Research Analyst

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Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

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The analyst will work within a team of quantitative researchers, machine learning engineers, and portfolio managers to assist in developing, implementing, and enhancing quantitative models and analytics used to support the Equities platform at Voya Investment Management. Our team sits at the intersection of data science and investment analysis, working closely with fundamental sector analysts for cross-fertilization of ideas. We develop investment insights through exploring datasets and analytical methods to systematically identify alpha opportunities in different segments of the equity market.

Research areas include identifying new alpha factors, model estimation (linear and nonlinear), portfolio construction, and risk management. The analyst will be expected to help maintain and contribute to the shared codebase and toolkit of the research team. Combining newly available data with innovations in machine learning is key to capturing fundamental investment intuition and insights from behavioral finance in more nuanced and effective ways.

This role offers a unique opportunity for the right candidate to gain in-depth understanding of "quanta mental" investing and hands-on experience with the latest data science techniques.

Responsibilities include:

* Work on innovative research projects aimed at advancing our proprietary multi-factor and machine intelligence models through the addition of new alpha signals or better model estimation techniques, both linear and nonlinear.

* Partner closely with fundamental sector analysts to create and evaluate bespoke signals and screening tools in support of their discretionary investment process.

* Evaluate new data sets from a range of sources for their potential to generate alpha.

* Help maintain and advance the team's shared codebase, data repositories, and cloud-based technology stack that is the cornerstone of our research and production processes.

* Contribute to new product development in collaboration with our client-facing and product teams.

* Contribute to thought leadership articles to enhance awareness of our team's investment philosophy and capabilities.

Qualifications

* Bachelor's degree in a quantitative discipline such as Financial Engineering, Operations Research, Mathematics, Computer Science, Statistics, etc. Advanced degree preferred. CFA a plus.

* 5-7 years of relevant work experience in applied quantitative research, preferably investment management. Working directly with fundamental analysts in support of a 'quanta mental' investment process is a plus.

* Hands-on experience across broad range of modern analytic and data tools, particularly Python (numpy/pandas, machine learning packages such as XGBoost and SKLearn) with a solid understanding of relational and non-relational databases.

* Experience using one of the Big 3 cloud-based computing services (Azure, AWS, Google Cloud) and data science development platforms (e.g., Databricks, Azure

ML) is a plus.

* Strong analytical and mathematical skills. Excellent working knowledge of econometrics and statistics. Familiarity with financial statement analysis is a plus.

* Experience with financial databases such as Compustat, Worldscope, Factset, Clarifi/Capital

IQ, Axioma, Barra, Bloomberg is a plus.

* Experience in factor-based equity investing including ESG metrics is a plus.

* Attention to detail, curious, and self-motivated. Ability to work independently and collaboratively within the broader research team, as well as prioritize tasks.

* Excellent problem solving, interpersonal and communication skills. Ability to translate quantitative insights into actionable process improvements

* Have a passion for data science and financial markets, the curiosity to master new technologies and techniques, and a desire to drive…