Organization Description

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 risks, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Employer Description

JPMorgan Chase & Co., 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.

Job Description

Short Description

The Fraud Risk Analytics & Intelligent Reporting (AIR) team is part of the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team within CCB Risk. The role is aligned to CCB Risk Oversight organization which is working on protecting our customers and the firm from fraud and reputation risk by recommending the right level of controls for new business initiatives and / or existing processes. The candidate will be a key contributor to the Risk Oversight team’s mission by providing analysis that bolsters and validates the team’s recommendations. Analysis will include: quantifying potential or current risk scenarios; reporting that monitors program performance; ad hoc root cause analysis on significant fraud trends; etc.

We are seeking a candidate with a strong analytical skillset, capable of developing and communicating meaningful insights to influence strategic initiatives to senior leaders. Ideal candidate should have technical background and experience using SQL/SAS based tools in addition to excellent written and oral communication. The role requires close partnership with strategy, operations, technology, and product teams.

Job Description

The Fraud Risk Analytics & Intelligent Reporting (AIR) team is part of the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team within CCB Risk. AIR is responsible for the development, automation and deployment of intelligent solutions that meet the reporting and analytical needs within CCB Risk, as well as enforcing compliance and control requirements to ensure timely and reliable information is provided to the right audience. In addition, AIR is focused on developing analytical insights around the strategies our risk partners deploy to identify and mitigate fraud. This mission spans every CCB sub-line of business and supports all functions, strategies and capabilities in the fraud space.

We are seeking a candidate with a strong analytical skillset, capable of developing and communicating meaningful insights to influence strategic initiatives to senior leaders. This role requires an individual to leverage creative analytical problem-solving skills while efficiently using large data sets from a broad range of sources. In addition to top-tier analytical capabilities, the desired candidate should have strong programming skills coupled with excellent written and oral communication. They will also leverage an acquired understanding of the data repositories, tools, policies and controls required in the risk reporting and analytics space.

Additional responsibilities include:

• Ability to design, execute and interpret statistical analyses to drive insights and strategy
• Query enterprise databases using SQL to obtain relevant data for analysis
• Work with Product Risk managers and other stakeholders to support new strategy and product development and monitoring
• Write summary documentation of analyses performed for both technical and non-technical audiences within the firm
• Present results to peers and higher levels of management
• Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems
  

Minimum Skills, Experience and Qualification

The successful candidate must also have a technical background and experience using SQL/SAS based tools needed for extracting, transforming, and analyzing big data.

• Experience - must meet one of the following requirements:
  • Master’s Degree in a quantitative discipline with 3+ years of work experience in analytics
  • Bachelor's Degree in a quantitative disciple (e.g. Data Analysis, Economics, Mathematics, Statistics, Management Information Systems) with at least 5+ years of work experience in analytics / analytical reporting
• Working knowledge and development experience with SQL, SAS and related tools such as Alteryx and Tableau
• Strong analytical skills with the ability to extract business insights from complex data structures
• Alteryx, Tableau, SAS certification preferred (basic/advanced)
• Experience coding in a flexible analytics language preferred (e.g. Python, R)
• Proven ability to work with large-scale/complex issues and collaborate across organizations
• Experience in Banking / Digital Banking preferred
• Excellent analytical storytelling skills
• Ability to work in a fast-paced environment and flexibly adapt to change