Lead · 8 hours ago

Model Risk Management Lead

United States

Full-time

Remote

Senior Level

$177K/yr - $205K/yr

5+ years exp

Maximize your interview chances

BankingCryptocurrency

Comp. & Benefits

Insider Connection @Lead

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Oversee Lead’s overall Model Risk Management program

Maintain Lead’s Model Inventory

Perform due diligence on partner model risk management process as part of partner onboarding

Review documentation, validate models and recommend enhancements covering a range of models from scorecards, regressions to machine learning algorithms

Engage with stakeholders: Work closely with risk, finance, customers/partners, and other related function group personnel to identify, assess, monitor, and manage model risk proactively.

Ensure that, per Lead Bank model risk policy, models are: appropriately registered and risk-rated by EMRM (Enterprise Model Risk Management); validated before use; following appropriate protocol when adjustments or other changes are made to a model, its inputs or outputs.

As appropriate and where independence of oversight is not compromised, offer input on model design or use that would enhance the management of model risk.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Quantitative model developmentModel validationModel risk managementMachine learning modelsStatistical modelsFinancial products knowledgeRegulatory requirements knowledgeEnterprise risk managementCollaborative mindset

Required

Hold a Bachelor’s Degree in a quantitative discipline such as math, physics, econometrics, statistics, or financial engineering.

Have more than 5 years of working experience in quantitative / statistical model development, model validation and/or model risk management.

Familiarity with traditional statistical models (e.g. linear / logistic regressions) as well as more advanced machine learning models (e.g. gradient boosting models).

Possess a strong quantitatively oriented knowledge of financial products and industry best practices and regulatory requirements for model risk management.

Strong verbal and written communication skills.

Have a collaborative mind-set with strong interpersonal skills.

Knowledge of regulatory requirements for financial institutions.

Familiar with enterprise risk management framework.