CCB Risk Program Associate

JPMorgan Chase & Co. • Wilmington, DE

2h

About The Position

The Portfolio Risk Modeling team within CCB Risk Modeling group is responsible for end-to-end development of best in class forecasting model suite for Chase credit card portfolios to support stress testing, loss reserve, and business planning exercises.
Job Responsibilities:
You will work on a large and cleanly structured codebase designed for large-scale distributed simulation and forecasting.
collaborate with business partners in loss forecasting, finance and technology, effectively communicate model results, analytical findings, and insights to them and senior leadership team to support business and or technical decisions.
Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.
Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.
Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise
Job requirements, capabilities and skills:
Master’s degree in Computer Science, Mathematics, Statistics, Econometrics, Physics, Engineering, or a related quantitative discipline is required.
Proven proficiency in programming languages for large-scale data analysis, such as Python or Scala.
A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.
Preferred qualifications, capabilities and skills:
PhD in a quantitative field with publications in top journals, preferably in machine learning.
Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

• Master’s degree in Computer Science, Mathematics, Statistics, Econometrics, Physics, Engineering, or a related quantitative discipline is required.
• Proven proficiency in programming languages for large-scale data analysis, such as Python or Scala.
• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.

Nice To Haves

• PhD in a quantitative field with publications in top journals, preferably in machine learning.
• Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive

Responsibilities

• work on a large and cleanly structured codebase designed for large-scale distributed simulation and forecasting.
• collaborate with business partners in loss forecasting, finance and technology, effectively communicate model results, analytical findings, and insights to them and senior leadership team to support business and or technical decisions.
• Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.
• Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.
• Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Benefits

• 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.
• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level