Quant Modeling Lead [Multiple Positions Available]

DESCRIPTION:

Duties: Drive validation projects including planning execution coordination and final delivery overseeing all phases of the model review process while also contributing individual technical assessments. Facilitate the Ongoing Performance Monitoring central coordination process for Consumer and Community Banking models. Coordinate between model reviewers and developers facilitating collaboration tracking critical deadlines and streamlining the performance monitoring workflow. Monitor model performance across the CCB portfolio identify underperforming models coordinate remediation efforts between teams and synthesize and consolidate model performance results into presentations. Conduct validation of models related to fraud models including authentication and login models designed to detect login challenges. Perform model validation providing guidance on a models appropriate usage evaluating ongoing model performance monitoring ensuring that model users are aware of model strengths and limitations and developing model risk policies and procedures. Conduct validation of models related to credit risk of credit card portfolio including forecasting and scorecard models which are used for stress testing risk and regulatory capital measurement allowance determination and new origination. Evaluate conceptual soundness of model specification reasonableness of assumptions reliability of model inputs accuracy of implementation suitability and comprehensiveness of model performance metrics and risk measures associated with model usage. Design and perform independent testing including theoretical derivation empirical data analysis and benchmark model development for credit card portfolio. Document review findings and write review reports. Communicate review findings to model developers and work with model developers to establish action plans and corresponding timelines. Address requests from internal/external auditors and regulators and work on regulatory examination. Identify model risks and issues and quantify the potential impacts and assess the corresponding compensating controls to ensure that models are used appropriately in the business context and that model users are aware of the models strengths and limitations and how these can impact their decisions. Design and evaluate model risk measurement.

QUALIFICATIONS:

Minimum education and experience required: Masters degree in Financial Mathematics Mathematics Economics Statistics Machine learning or related field of study plus 3 years of experience in the job offered or as Quant Modeling Lead Quant Modeling Associate Quantitative Researcher or related occupation.

Skills Required: This position requires experience with the following: Developing models risk management underwriting or analyzing portfolio performance with Credit Cards Mortgage or Auto Loans; building validating and interpreting logistic and Linear Regressions models using real-world data; implementing machine learning solutions end-to-end including data preprocessing algorithm selection model training and deployment in a production or research setting; modeling time series including trend seasonality forecasting analyses building models to forecast future data points handling temporal dependencies and conducting anomaly detection; analyzing data developing models or automating analytical processes in R Python or SQL; modeling Financial risk; improving predictive performance using Xgboost; assessing feature importance including using Shapley values for model interpretability with hyperparameter tuning and optimization; developing training and deploying Neural Network models; classifying regression using Random Forest.

Job Location: 545 Washington Blvd Jersey City NJ 07310.

We offer a competitive total rewards package including base salary determined based on the role experience skill set and location. For those in eligible roles discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs based on eligibility. These benefits include comprehensive health care coverage on-site health and wellness centers a retirement savings plan backup childcare tuition reimbursement mental health support financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring addition please visit: Salary: $160000 - $215000 per year.