Manager, Quantitative Consulting

Forvis Mazars, LLP; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Forvis Mazars, LLP seeks a dynamic Quantitative Manager to join the Quantitative & AI Solutions team. This role combines hands-on modeling with leadership to run model lifecycles in highly regulated environments and to engage with senior stakeholders across Risk, Finance, Compliance, and Technology.

You will lead end-to-end engagements in model development, validation, governance, and operations for major financial institutions, advancing ModelOps/MLOps, governance artifacts, and executive

Qualifications

• 8+ years in quantitative modeling, development, validation, or risk management within financial services.
• Hands-on model development and independent validation experience with defensible reporting.
• Thorough working knowledge of SR 11‑7 requirements for model development, validation, governance, controls.
• Experience validating and governing models across domains: ML, credit risk, market risk, liquidity/treasury.
• Strong project management and stakeholder management capabilities.

Responsibilities

• Lead end-to-end quantitative engagements across model development, validation, governance, and model operations.
• Serve as trusted advisor to Model Risk Management leadership and senior management on SR 11‑7 frameworks.
• Drive hands-on model development for priority use cases, including framing, methodology, data strategy, features, estimation, and production implementation.
• Develop, validate and govern models across multiple domains (credit risk, market risk, liquidity/treasury) and ML/GenAI.
• Build and govern model governance artifacts: inventories, documentation, validation policies, approval workflows, issue management.

Skills

Project management

Stakeholder management

Client-facing leadership

Model risk & governance

Model development & validation

Education

Bachelor's degree in quantitative discipline

Advanced degree (Masters/PhD) in a quantitative field

Job description

We are seeking a dynamic, client‑facing Quantitative Manager to join our Quantitative & Artificial Intelligence (AI) Solutions team. This role is designed for a well‑rounded quantitative manager who combines deep, hands‑on modeling expertise with the leadership and delivery discipline required to build, validate, govern, and run models in complex, highly regulated environments.

You will work with large, systemically important financial institutions and other complex banking organizations, partnering with senior stakeholders across Risk, Finance, Treasury, Compliance, and Technology to strengthen their model development, validation, model risk management and model operations capabilities in alignment with SR 11‑7 expectations.

Model portfolios span traditional statistical approaches and advanced machine learning, and include key banking risk domains such as credit risk, market risk, and liquidity/treasury models. SR 11‑7 emphasizes robust model development, implementation and use, effective independent validation, and strong governance, policies, and controls, all of which are central to this role.

As a Manager, you will bring proven experience leading end‑to‑end model lifecycles, including hands‑on development and independent validation of individual models, plus the operating model, controls, and tooling required to run MRM at scale.

What You Will Do

• Lead and deliver end‑to‑end quantitative engagements across model development, model validation, model risk governance, and model operations for large financial institutions.
• Serve as a trusted advisor to Model Risk Management leadership, model owners, and senior management on SR 11‑7 aligned frameworks, including model lifecycle standards, tiering, and control expectations.
• Drive hands‑on model development for priority use cases (as needed), including problem framing, methodology selection, data strategy, feature engineering, estimation, and implementation in production‑ready code.
• Develop, validate and govern models across multiple domains, such as:
  • Credit risk (PD/LGD/EAD, CECL/ACL, stress testing, underwriting and portfolio models)
  • Market risk models (FRTB, VaR/ES, pricing, XVA, sensitivities)
  • Liquidity and treasury models (cash flow forecasting, liquidity risk metrics and reporting)
  • Machine learning, GenAI and advanced analytics models
• Build and enhance model governance artifacts: model inventories, model documentation standards, validation policies and procedures, approval workflows, and issue management routines aligned to regulatory expectations.
• Design and implement model operations capabilities (ModelOps/MLOps) that enable repeatability and auditability: version control, testing, reproducibility, lineage, monitoring, and evidence capture across the lifecycle.
• Lead workstreams and manage delivery teams, including planning, resourcing, quality review, and executive‑ready communication of complex quantitative topics.
• Coach, mentor, and review the work of consultants and senior consultants.
• Serve as a confident, credible, and compelling client‑facing leader.
• Lead pursuits, proposals, and client presentations.
• Build and deepen long‑term client relationships rooted in trust and delivery excellence.

Minimum Qualifications

• Bachelor's degree in a quantitative discipline such as finance, economics, statistics, mathematics, engineering, or computer science.
• 8+ years of experience in quantitative modeling, model development, model validation, and/or model risk management within financial services, including large financial institutions.
• Demonstrated, hands‑on experience developing models and independently validating individual models, including documentation and defensible reporting.
• Thorough working knowledge of SR 11‑7 requirements and expectations related to model development, model validation, and governance, policies, and controls.
• Experience validating and/or governing models in multiple domains, such as machine learning, credit risk, market risk, and liquidity/treasury.
• Strong project management and stakeholder management capabilities.

Preferred Qualifications

• Advanced degree (e.g., Masters or PhD) in a quantitative field.
• Relevant professional certifications such as:
  • Chartered Financial Analyst (CFA)
  • Financial Risk Manager (FRM)
  • Other recognized quantitative credentials
• Prior consulting or professional services experience leading client engagements in model risk, validation, or quantitative analytics.

Legal Notice

Forvis Mazars, LLP is an equal opportunity/affirmative action employer in accordance with applicable law. Employment selection and related decisions are made without regard to age, race, color, sex, sexual orientation, national origin, religion, genetic information, disability, protected veteran status, gender identity, or other protected classifications. Forvis Mazars, LLP expressly reserves the right not to consider unsolicited referrals, resumes or CVs from vendors including, but not limited to, search firms, staffing agencies, fee‑based referral services, and recruiting agencies, and does not pay recruiter fees unless a signed vendor agreement exists.