DESCRIPTION:
Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and Model Risk Governance and Review (MRGR).
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The employer will alternatively accept a PhD in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The occupation may be gained through professional work experience, graduate work occupation experience, postdoctoral experience, or internship.
Skills Required: This position requires three (3) years of experience with the following: Applying artificial intelligence (AI) and machine learning (ML) techniques including Logistic Regression, Random Forest, and Gradient Boosting Machine to develop and implement classification and regression models on large-scale datasets; Deploying data analysis, feature-engineering, and model development workflows using Python and SAS. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship. This position requires any amount of experience with the following: Utilizing Analytical and modeling methods including logistic regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis, factor analysis, and time series analysis; Identifying quantitative relationship embedded within data to predict target variable and inform decision-making; Utilizing Quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including LOOKUP, index match, data analysis add-ons, Pivots, and Visual Basic for Applications (VBA); Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python; Processing large data sets using data containers, multithreading, and multiprocessing in PySpark; Utilizing data science libraries including Pandas, Numpy, Scikit-learn, TensorFlow, Pytorch, Matplotlib and Seaborn and software engineering fundamentals including version control using GitHub and Bitbucket. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship.
Job Location: 301 N Walnut St, Wilmington, DE 19801-3935.
Full-Time.
About Us
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
About the Team
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.
