Senior Analytical Reporting Analyst - ALM & Power BI Development; Hybrid

Job Description Summary

As our Senior Analytical Reporting Analyst – ALM & Investment Risk you will be responsible for ALM and investment operations, production, and reporting within a disciplined controls environment. Produce model inputs and perform business analysis to deliver key performance indicators and ensure efficient operations, including the creation of asset inventories, economic assumptions, and both business unit and enterprise-wide ALM investment and risk reporting packages.

Provide timely, quality resolution of inquiries and ad hoc requests. This role will also focus on dashboard development with Power BI for the general account.

• Run business processes, and manage phases of projects that directly impact Transamerica financials.
• Support enterprise‑wide market risk sensitivity calculation and QoQ change attribution as well as stress scenario to access investment portfolio risks and asset liability mismatch risks.
• Assess general account portfolio performance attribution vs. benchmark, as well as associated impact with derivatives programs.
• Support the annual setting of economic assumptions by working cohesively with members of Life, Health, Annuity, and Risk areas.
• Engage in annual discussions regarding economic assumption changes and facilitate the creation of model files that reflect the updated assumptions.
• Collaborate with actuarial peer teams and provide considerations on the development of asset‑related code updates in MoSes and  models, and execute asset‑only user testing of the updates.
• Assist customers in explanation of model results attribution and reconciliation.
• Complete required change management documentation each quarter for assumption and/or system updates.
• Resolve potential issues; escape as appropriate.
• Improve processes to increase reliability and accuracy of results.
• Assist audit partners by providing requested documentation and information as needed.
• Maintain professional and technical knowledge; attend educational workshops, review professional publications, establish personal networks, and participate in professional societies.
• Mentor more junior staff as needed.

• Bachelor’s degree in math, actuarial science, statistics, related science field, finance, or related business field.
• Three years of related experience (or one with Master’s degree).
• Expert level process knowledge in two or more of the following areas:

• Insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, artificial intelligence
• Good understanding of investment and finance concepts, and be able to creatively apply them in solving analytical problems in the business setting

Preferred Qualifications:

• Experience working with asset liability management and/or investment portfolio management processes in insurance or banking
• Understanding of actuarial and accounting, such as STAT and GAAP
• Prior experience with calculating and analyzing market risk sensitivities, such as interest rates and equity price shocks, and derivatives hedging and Greeks
• Strong knowledge working with large amount of data and relevant SQL and Python skills
• Expert-level proficiency in Power BI, including advanced DAX, Power Query, semantic data modeling, dashboard optimization, and Power BI Service.
• Strong SQL skills and experience integrating data from multiple enterprise systems.
• Demonstrated ability to design scalable, user‑friendly dashboards that support executive decision‑making.
• Working knowledge of investment or asset data, with the ability to understand portfolio holdings, security‑level data, and key financial metrics.
• Prior experience with insurance, asset management, or investment reporting is preferred.

Hybrid (Tuesdays, Wednesdays & Thursdays in the office)

Location:

Baltimore, MD or Cedar Rapids, IA

The Salary for this position generally ranges between $97,000 - $110,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in‑office, hybrid, remote) and operational needs. Salary…