Quantitative Model Risk Implementation Lead
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Posted on Apr 14, 2026
How you'll make an impact
- Lead the end-to-end implementation of Yields for Performance, ensuring smooth adoption within the client’s organization.
- Implement Yields for Performance into the clients existing processes, ensuring efficiency gains and transparency.
- Provide expert advice on model risk management to guide the client on best practices for Yields usage.
- Act as primary point of contact for the client, managing timelines, milestones, and stakeholder communications.
- Understand and translate integration needs into requirements for the technical/integration team.
- Perform and/or oversee minor configuration updates in Yields for Governance, and coordinate feature rollouts as they become available.
- Ensure successful change management and embedding of the products in day-to-day business processes.
- Monitor and report project progress, risks, and dependencies to both client and internal stakeholders.
- Travel to client sites (US and potentially other locations) as needed.
What we're looking for
- 5–10 years of professional experience in financial services, with significant hands-on exposure to model development and/or model validation.
- Strong expertise in model risk management and familiarity with regulatory expectations (e.g. SR 11-7, ECB guidelines, …)
- Solid Python skills with the ability to understand, adapt and validate scripts and analyses within Yields for Performance.
- Proven track record of managing complex implementation projects with multiple stakeholders.
- Technical understanding of system integrations (APIs, data flows,…);
- Ability to translate business needs into technical requirements.
- Hands-on experience with configuration of software solutions is a plus.
- Excellent communication and stakeholder management skills.
- Fluency in English (spoken and written).
This job is no longer accepting applications
See open jobs at Yields.io.See open jobs similar to "Quantitative Model Risk Implementation Lead" Volta Ventures.