Manager, Model Risk and Governance

🕒 Agosto 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 - $240.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🎲 Riscos

🦅 Patrocina Visto H1B

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👻 Score fantasma 22%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of SentiLink

SentiLink

51 - 200 funcionários

Fundada em 2017

🔐 Segurança

💳 Fintech

💸 Finanças

💰 $70.000.000 Series B em 2021-08

Security • Fintech • Finance

A SentiLink é uma empresa focada em combater fraudes de identidade para instituições financeiras. Ao alavancar modelos de machine learning e expertise humana, a SentiLink oferece soluções personalizadas para impedir o roubo de identidade no ponto de aplicação para vários serviços financeiros, incluindo depósitos, crédito e empréstimos. Seus produtos garantem que os clientes possam acessar serviços financeiros com segurança enquanto minimizam as perdas por fraude com uma abordagem flexível e responsiva à gestão de risco.

Descrição

• Lead, grow, and develop a team of 3+ data scientists and governance professionals • Own and improve performance monitoring, drift monitoring, fair lending assessments, governance documentation, validation, model inventory, and change management • Set the long-term strategy for the model risk and governance function • Decide what to automate, what to standardize, and where to exceed industry norms • Own governance-related relationships across Data Science, Engineering, Partner Success, and Sales • Run customer-facing calls and work directly with model risk teams at banks and fintechs • Guide customers on adoption while meeting governance standards, unblocking deals and deployments • Prepare validation reports, governance documentation, and performance summaries for leadership, customers, auditors, and regulators • Track governance findings through remediation and manage the team roadmap • Perform hands-on work when needed to advance initiatives or mentor the team

🎯 Requisitos

• 8+ years in model risk management, model validation, model governance, or quantitative risk • Proven experience building or scaling a governance/risk team • 4+ years of people management experience • Deep knowledge of model governance for financial institutions • Knowledge of SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape • Firsthand experience validating or governing ML/statistical models in a regulated environment • Ability to read models, interrogate methodology, and work effectively with data scientists • Working knowledge of Python and proficiency in SQL • Strong analytical skills using Excel/Google Sheets • Excellent written and verbal communication skills; able to translate technical findings for technical and non-technical audiences • Bachelor's degree in a quantitative field such as Math, Statistics, CS, Engineering, Economics, or related STEM • Must be legally authorized to work in and reside in the US • Nice to have: experience with fraud, identity verification, credit risk, or financial risk models • Nice to have: experience supporting model governance with banks or regulated financial institutions • Nice to have: experience with AWS (S3, SageMaker) and GitHub • Nice to have: Master's degree in a quantitative field

🏖️ Benefícios

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend

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