IM Entry Level Analyst Program: Risk Management

Together we fight for everyone’s opportunity for a better financial future.

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

Risk Management Analyst

Profile Summary:

This role is a part of our Voya Investment Management Entry Level Program. This program, which will begin in July 2026, is designed to develop the careers of entry level employees and provide you with the unique opportunity to begin your investment career while gaining hands-on experience and on-the-job development and training.

An entry-level analyst in Risk Management will focus on collecting, cleaning, analyzing, and visualizing data related to financial markets and investment portfolios, process mapping, incident tracking and analysis. They will work with large datasets, using statistical tools and software to identify trends, build financial models, and generate reports for stakeholders. This role requires strong analytical skills, proficiency in data analysis tools, and the ability to communicate findings effectively.

Profile Description:
Key Responsibilities:

• Data Collection and Management: Gathering data from various sources, ensuring data accuracy, and managing data storage for efficient access.

• Data Cleaning and Preparation: Identifying and correcting errors in the data, transforming raw data into a usable format for analysis.

• Data Analysis and Modeling: Applying statistical methods, mathematical models, and data mining techniques to extract insights and make predictions.

• Data Visualization: Creating visual representations of data, such as charts and dashboards, to communicate findings to stakeholders.

• Report Generation and Communication: Compiling reports that outline key insights and communicating findings to relevant teams and management.

• Supporting Senior Analysts: Assisting with larger projects and gaining experience in data-driven decision-making processes.

• Strong investment domain knowledge: Exposure to investments analytics of various asset classes, Risk Analytics (Tracking Errors, VaR, Factor and other risks). Fundaments of Performance and Attribution of P&L.

Knowledge & Experience:

• Applicants should be graduating with an undergraduate degree in December 2025 or spring/summer of 2026.

• Analytical Skills: Strong ability to analyze data, identify trends, and draw conclusions.

• Statistical Analysis: Proficiency in using statistical tools and techniques to interpret data and make predictions. 

• Data Visualization: Familiarity with tools like Tableau, Power BI or any other standard reporting tools to create effective visualizations.

• Data Mining: Knowledge of SQL or other query languages to extract data from databases.

• Communication Skills: Ability to clearly and concisely communicate findings to both technical and non-technical audiences.

• Attention to Detail: Ensuring accuracy and precision in data analysis and reporting.

• Problem-Solving: Using data to identify and solve problems related to investment strategies and portfolio performance.

• Spreadsheets: Microsoft Excel or similar tools for data manipulation and analysis.

• Databases: SQL and other database management systems for accessing and managing large datasets.

• Programming Languages: Python, R, or similar languages for advanced data analysis and automation.

• Data Visualization Tools: Tableau, Power BI or any other industry