We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now

Get to Know the Opportunity:

Voya Investment Management is seeking a Quantitative Analyst for the Multi-Asset Strategies and Solutions Group (MASS). The group manages multi-asset and structured portfolios, primarily target date, 529, and risk-based asset allocation fund-of-funds.

The Contributions You'll Make:

Work closely with members of the Investment Team to provide high quality data analysis, reports, and analysis for internal stakeholders. This includes performance attribution, portfolio and manager risk analytics, and competitive analysis across the core multi-Asset products.
Work closely with other members of the Strategy Research, Asset Allocation and Manager Research team to develop and enhance the Quantitative tools, systematic processes, models and metrics.
Maintain and expand the internal data warehouse from which the analytics are generated.
Proactively uncover and resolve data and calculation issues.
Contribute to quantitative research effort, including asset-class and factor modeling, manager due diligence, portfolio construction, and customized solutions.

Minimum Knowledge & Experience:

Undergraduate degree in computer or a quantitative field; an advanced degree in a quantitative discipline is desired.
3 to 5 years of relevant experience.
Excellent programming skills in the following languages (or similar languages) is required: R, VBA (Excel and PowerPoint) and SQL. Proficiency in C and Python is a plus.
Advanced knowledge of Excel is required (e.g., array formulas).
Strong analytical skills and attention to detail is critical.
A good understanding of statistical/econometric techniques, investment management, portfolio optimization and risk factor analysis is a plus.
Proficiency in data and analytical tools (such as FactSet, Barra, Morningstar Direct, and Bloomberg) is desired.