Quant Modeling Lead [Multiple Positions Available]

JPMorgan Chase & Co.•Jersey City, NJ

5h•$160,000 - $215,000•Onsite

About The Position

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 model's 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: Master's 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 process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us. Full-Time. Salary: $160,000 - $215,000 per year. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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 process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Requirements

Master's 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.
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

Responsibilities

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 model's 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.