Quantitative Analytics Associate

**JOB DESCRIPTION**
You are a strategic thinker passionate about driving solutions in Quantitative Analytics. You have found the right team.

As a Quantitative Analytics Associate in the Credit Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Strategy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and present to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank from fraud related losses and improving customer experience at Point of Sale.

**Job responsibilities**:

- Interpret big and complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
- Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
- Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
- Collaborate with cross-functional partners to understand and address key business challenges
- Identify business opportunity by performing well thought analysis - Data mining, ensuring data integrity, synthesizing and communicating findings to senior management
- Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

**Required qualifications, capabilities and skills**:

- Bachelor’s degree in a quantitative field or 3 years risk management or other quantitative experience
- Background in statistics, mathematics, or other quantitative field
- Advanced understanding of Python, SAS, and SQL
- Query large amounts of data and transform the raw data into actionable management information
- Strong analytical and problem-solving abilities
- Experience delivering recommendations to management
- Self-starter with ability to drive for resolution
- Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior-level executives

**Preferred qualifications, capabilities and skills**:

- MS degree in a quantitative field or 2 or more years risk management or other quantitative experience

**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 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.

**ABOUT THE TEAM**

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.