Senior Associate

About Company:

Moder, formerly known as Archwell Operations, is a part of Archwell Holdings founded in 2017. We are a tech forward outsourcing company specializing in supporting the US Mortgage, Insurance, and Banking industries. We specialize in end-to-end component-based outsourcing, managing one-off projects to become an extension of the customer service or operations team. Our team is built on industry expertise and provides the traction clients need to grow their company.

Equipped with diverse tools, platforms, solutions, and services we strive to work towards our mission to positively impact the financial health of companies by powering in-house processes using top talent, workflow best practices, and progressive technology.

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Senior Quantitative Model Risk Manager / Model Validator (1-3 years)

We are seeking an experienced quantitative professional to lead independent model validation and contribute to Model Risk Management (MRM) governance across credit, mortgage, and liquidity risk models. The role combines hands-on validation per SR 11-7/SS 1/23, policy/procedure drafting, and close partnership with leadership to support in enterprise MRM governance framework. Exposure to mortgage products (including MSR and whole loans), CECL/CCAR/DFAST, and Python is required; mortgage valuation knowledge and modern ML techniques are strong pluses.

Key Responsibilities Model Risk Management Oversight

• Partner closely with the CRO to enhance and maintain the Enterprise Model Risk Governance Framework, ensuring alignment with regulatory expectations (SR 11-7, SS 1/23) and internal risk strategy.

• Lead or assist in the design, update, and communication of the Model Life Cycle Framework, including clear articulation of standards for development, approval, validation, implementation, ongoing monitoring, and retirement.

• Develop/refine model documentation templates, ensuring consistency across model types (credit, mortgage, ALM, liquidity, capital planning) and embedding requirements for assumptions, limitations, conceptual soundness, validation tests, performance metrics, and change controls.

• Support the CRO in strengthening Model Validation Governance, including requirements for independent review, challenger model expectations, benchmarking protocols, and validation frequency tied to model tiering.

• Maintain and refine the Model vs. Non-Model Classification Framework, ensuring transparent criteria for classification, governance coverage, and assignment of oversight responsibilities.

• Oversee enhancements to Model Inventory Management, ensuring inventory accuracy, governance attributes completeness, model tiering logic, dependencies mapping, materiality assessments, and end-to-end traceability.

• Assist in designing/improving the Model Change Management Framework, including change classification thresholds, materiality scoring, pre-implementation review requirements, and documentation standards for version control and testing.

• Support the CRO with Model Issue Management Governance, including severity classification, remediation expectations, thematic root-cause reviews, closure standards, and escalation protocols.

• Lead contributions to the framework for Annual Model Reviews, ensuring systematic assessment of model health, performance, assumptions, limitations, data quality, and emerging risks.

• Strengthen and standardize the structure for Model Performance Monitoring, including KPI/KRI design, early-warning indicator thresholds, drift/stability testing, periodic stress tests, and dashboards for CRO-level reporting.

• Prepare governance materials, presentations, and risk summaries on behalf of the CRO for Model Risk Committees, Audit/Risk Committees, and regulatory examinations. • Partner with senior leadership to develop MRM governance routines and cadence, including committee charters, escalation paths, documentation standards, and enterprise reporting packages.

• Conduct forward-looking assessments and provide strategic recommendations to the CRO on emerging model risk themes—ML/AI risks, data/feature governance, vendor model oversight, and increasing regulatory expectations.

Model Validation

• Lead independent model validation reviews end-to-end (planning, testing, documentation, and challenge) for PD, LGD, EAD, prepayment, behavioral/credit loss, liquidity (NII/EVE), and other risk models—ensuring conceptual soundness, process verification, data lineage, performance/monitoring, benchmarking, and outcomes analysis in line with SR 11-7/SS 1/23.

• Perform technical testing such as sensitivity/scenario analysis, back-testing, stability tests, challenger builds/benchmarking, and outcome analysis for regulatory and business-use models.

• Review and challenge model documentation—assumptions, limitations, data quality controls, implementation, change management, and use—ensuring audit-ready evidence and clear traceability.

• Produce high-quality validation reports and executive summaries suitable for management committees, Internal Audit, and regulators (CECL, CCAR, DFAST contexts).

• Partner with credit, treasury/ALM, capital planning, finance, and data/technology teams to close validation findings, improve documentation, and strengthen ongoing performance monitoring.

• Coach/mentor junior validators and contribute to playbooks, workpapers, and automation accelerators to improve consistency and throughput. Qualifications (Must Have)

• 1-3 years of total experience in financial services/quantitative risk; substantial recent experience focused on Model Risk Management and independent

Model Validation.

• Demonstrated validation experience aligned to SR 11-7/SS 1/23 across credit risk (PD, LGD, EAD) and mortgage-related models; familiarity with liquidity/ALM models (e.g., NII/EVE).

• Hands-on programming: Python for data preparation, analysis, testing, and automation of validation workpapers; working knowledge of SQL (and/or R) is a plus.

• Strong knowledge of banking and regulatory frameworks relevant to model risk and capital planning: CECL, CCAR, and DFAST.

• Excellent documentation skills—able to produce clear, complete, and audit-ready validation reports and governance materials.

• Ability to influence and collaborate with leadership and cross-functional teams; strong written and verbal communication skills. Good to Have

• Exposure to mortgage valuations (e.g., MSR and whole loan valuation workflows, prepayment model review, benchmarking, and sensitivity analysis).

Education

• Master’s degree in a quantitative discipline (Statistics, Mathematics, Econometrics, Engineering, Computer Science, or related). Relevant professional certifications (e.g., FRM/CFA) are a plus.

Location

• Work from office (Bagmane Constellation Tech Park, Marathahalli, Outer Ring Road)