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Reinsurance Group of America

Senior Analyst, Investment Data Management Operations (open to remote)

Posted Yesterday
Be an Early Applicant
In-Office or Remote
49 Locations
89K-135K Annually
Senior level
In-Office or Remote
49 Locations
89K-135K Annually
Senior level
Maintain investment data integrity through validation controls, data quality improvements, transaction implementations, analytics tool support, and process automation. Investigate data issues, identify root causes, recommend resolutions, and support migration to an investment data warehouse. Collaborate with investment teams, IT, Accounting, and other corporate partners while maintaining procedures and supporting concurrent projects. The role requires fixed-income investment knowledge and experience with Bloomberg, BlackRock Aladdin, Excel, Power BI, SQL, Snowflake, and Python.
The summary above was generated by AI

You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

A Brief Overview
Maintain and enhance data integrity by supporting existing validations and adding additional data validations around key data points like security master, trade, and yield data. Support daily operations and new transaction implementations as well as automation and data integrity projects. Support and recommend enhancements to current processes and develop new processes to improve the team's overall efficiency.
What you will do

  • Build and leverage knowledge of RGA’s portfolio and data structures to add and enhance data validations that improve controls and overall data quality for Investments department, ensuring that data validations are documented.
  • Support development of implementation of data analytics tools, which could include support of the transition from legacy databases to new investment data warehouse
  • Support daily functions of the team including responding to moderately complex data inquiries, evaluating root cause of issues, and recommending course of action for resolution.
  • Enhance end-to-end processes related to data to reduce manual effort and identify opportunities in daily processing to reduce human effort
  • Assist in developing and maintaining the group’s policies and procedures
  • Support new transaction implementation processing
  • Develop and maintain strong working relationships with Investments’ front, middle, and back office as well as with RGA corporate partners (i.e., IT, Accounting, Structured Finance, etc)
  • Assist in special projects, committees, and meetings as required
  • Perform other duties as assigned

Qualifications

  • Bachelor’s Degree in Arts/Sciences (BA/BS) in Economics, Finance, Mathematics, or related field, AND 5+ years of relevant work experience required or
  • Master’s degree in Arts/Sciences (MA/MS) or MBA AND 3+ years of relevant work experience required
  • Experience in the optimal use of provided data resources including Bloomberg and Blackrock Aladdin required
  • Experience working with external portfolio managers preferred
  • Experience working with IT on enhancing or implementing new data structures/flows preferred
  • Exceptional investigative, analytical, and problem-solving skills required
  • Strong ability to work well in an environment with multiple concurrent projects, cyclical workflow and demanding time frames required
  • Ability to adapt to changing circumstances while managing multiple concurrent deadlines required
  • Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received required
  • Ability to interact with individuals across a wide variety of operational, functional, and technical disciplines required
  • Ability to initiate, think outside the box, execute, and bring ideas to fruition required
  • Ability to work well individually with little supervision as well as within a team required
  • Intermediate technological skills (i.e., Excel, Power BI, SQL, Snowflake, Python) required
  • Understanding of fixed income investing required
  • Strong knowledge of portfolio and fixed income analytics preferred
  • Advanced technological skills (i.e., Power BI, SQL, Snowflake, Python) preferred
  • CFA designation preferred

#LI-MB1

#remote


What you can expect from RGA:

  • Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

  • Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

  • Join the bright and creative minds of RGA, and experience vast, endless career potential.

We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you.

Compensation Range:

$89,310.00 - $134,870.00 Annual

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

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