Manager, Model Risk and Governance

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $210k - $240k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🎲 Risk

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SentiLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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