AVP, Hedging & Risk Analytics Implementation

Alternate Locations:
Radnor, PA (Pennsylvania)

Work Arrangement:

Hybrid :
Employee will work 3 days a week in a Lincoln office

Relocation assistance: is not available for this opportunity.

Hiring Manager:
Thomas Watson

Requisition #: 76123

The Role at a Glance

As AVP, Hedging & Risk Analytics, you will lead a team responsible for translating complex annuity product and risk requirements into well-governed, production-ready analytics and application data capabilities supporting hedging platforms, credit risk analytics, and associated upstream and downstream data dependencies.

This role requires annuity and insurance domain expertise and a hands-on player-manager who can translate product prospectuses and actuarial assumptions into clear, functional business requirements, working directly with hedging teams, annuity product implementation teams, actuaries, modelers, and technology stakeholders to deliver high‑quality requirements and scalable, reliable solutions that convert complex or undocumented processes into well-governed analytics supporting risk management outcomes.

What you'll be doing

* Translating business needs from product implementation, market risk management, credit risk, and risk management stakeholders into clear, complete, and testable requirements that technology teams can implement without ambiguity.

* Assessing the downstream impact of product and regulatory changes across model inputs, inforce data extracts, and hedging and valuation workflows, and convert analysis into actionable requirements.

* Strengthening and automating existing analytical and system workflows, improving reliability, reducing manual intervention, and building scalable, governed processes that support the team's long-term delivery capability.

* Partnering with the dedicated project manager on delivery, you own the what; the PM owns the when and how.

* Partnering with modelers and hedging analysts to ensure analytical outputs are methodologically sound, well-documented, and decision-ready.

* Managing and maintaining data sourcing, quality, integrity, and governance across assigned data systems, including inforce extracts, model inputs/outputs, market data, and derivatives.

* Maintaining and supporting business intelligence and analytical reporting solutions, including Power BI and Tableau.

* Establishing operational standards and best practices that support consistent and auditable outputs across hedging, capital, credit risk, and risk analytics systems.

* Monitoring day-to-day operational health of applications and data pipelines; supporting functional questions, change requests, and issue escalation in partnership with technology teams.

* Maintaining application governance and control standards, including change management documentation and audit support.

Team Leadership

* Leading and developing a team, setting priorities, performance goals, and a culture of requirements quality and documentation discipline.

* Providing subject matter expertise on complex assignments to team members and stakeholders.

* Promote strong collaboration across hedging, actuarial, data, and technology teams.

What Success Looks Like

* Requirements that need no interpretation: business stakeholders and technology teams operate from clear, complete, and traceable specifications.

* Domain knowledge that drives better outcomes: understand the products, the models, and the data well enough to anticipate what stakeholders need before they ask.

* Workflows that no longer live in someone's head: manual or undocumented processes identified, documented, and converted into repeatable, governed workflows.

* Data outputs the organization can trusts: analytical models receive clean, governed inputs; reporting is consistent, auditable, and reliable.

* A team that delivers: A high-performing team with clear expectations, growing capability, and dependable delivery for business stakeholders.

* Continuous audit readiness: control artifacts are complete and defensible; disciplined control management and effective auditor interactions.

What we're looking for

Must Haves

* 7-10 years of experience in business analysis, data management, or risk technology functions within financial services, including 4+ years of managerial, supervisory, and/or demonstrated leadership experience.

* Strong understanding of annuity and life insurance products, with experience interpreting product prospectuses and actuarial assumptions, and assessing impacts to model inputs, inforce data, production processes and implementation workflows.

* Strong written communication and organizational skills, with the ability to convey complex business requirements into governed, production-ready technology specifications clearly and effectively

* Experience innovating and transforming fragile or manual data workflows into scalable, well-governed, repeatable processes.

* Experience supporting change management, control documentation, and audit processes.

* Proficiency in SQL; comfort with data management and reporting tools.

*…