Quantitative Research Analyst

About Voya Investment Management

At Voya Investment Management, we fight for everyone’s opportunity for a better financial future. We achieve this together – with customers, partners, and colleagues, championing access to financial opportunities for all individuals and communities. We believe the status quo is not good enough; every individual and community deserves the chance to reach a better financial future, and our actions today are key to that.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are dedicated to a work environment where our differences are understood, valued, and intentionally pursued. We empower our employees to own our culture and foster an inclusive environment where everyone feels comfortable bringing their whole selves to work. Purposefully combining our differences positively influences our culture, serves our clients, and enriches our communities, which 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.

Role Overview: Quantitative Research Analyst

The Quantitative Research Analyst will join a dynamic team of quantitative researchers, machine learning engineers, and portfolio managers. This role is crucial for developing, implementing, and enhancing quantitative models and analytics that support Voya Investment Management's Equities platform. Our team operates at the intersection of data science and investment analysis, fostering close collaboration with fundamental sector analysts for cross-fertilization of ideas. We generate investment insights by exploring diverse datasets and analytical methods to systematically identify alpha opportunities across various segments of the equity market. Key research areas include identifying new alpha factors, model estimation (both linear and nonlinear), portfolio construction, and risk management. The analyst is expected to help maintain and contribute to the research team's shared codebase and toolkit. Combining newly available data with innovations in machine learning is vital for capturing fundamental investment intuition and behavioral finance insights in more nuanced and effective ways. This position offers a unique opportunity to gain an in-depth understanding of “quantamental” investing and hands-on experience with cutting-edge data science techniques.

Key Responsibilities

• 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 datasets 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. An advanced degree is preferred. CFA is a plus.
• 5-7 years of relevant work experience in applied quantitative research, preferably within investment management. Direct experience working with fundamental analysts in support of a 'quantamental' investment process is a plus.
• Hands-on experience across a broad range of modern analytic and data tools, particularly Python (including numpy/pandas and 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, AzureML) 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/CapitalIQ, 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 transformational change.

Compensation & Benefits

Voya is committed to fair and equitable pay, meaning comparable pay for comparable roles and responsibilities.

The annual base salary range for this position is $160,000 - $180,000 USD. In addition to base salary, Voya offers incentive opportunities (e.g., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Actual compensation may vary based on geographic location, work experience, education, licensure, and/or skill level, and will be finalized at the time of offer. Salaries for part-time roles will be prorated.

Voya provides comprehensive resources for physical, financial, social, and emotional well-being. Our benefits are designed to help you and your family be well and stay well.

• Health, dental, vision, and life insurance plans
• 401(k) Savings plan – with generous company matching contributions (up to 6%)
• Voya Retirement Plan – employer-paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250/year
• Paid time off – including 20 days paid time off, nine paid company holidays, and a flexible Diversity Celebration Day.
• Paid volunteer time — 40 hours per calendar year

Learn More About Voya Benefits (download PDF).

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem-solving to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn More About Critical Skills.

Voya Financial is an equal-opportunity employer and committed to the inclusion of all qualified individuals. Reasonable accommodations are provided for persons with disabilities during the application and employment process.

Key skills/competency

• Quantitative Research
• Financial Modeling
• Machine Learning
• Python Programming
• Data Analysis
• Portfolio Construction
• Econometrics
• Risk Management
• Alpha Generation
• Cloud Computing