Strategic Analytics [Multiple Positions Available]

DESCRIPTION:

Duties: Analyze emerging fraud and scam trends and recommend mitigating actions. Develop new fraud and scam- fighting products by designing requirements. Work with technical business partners to implement these products using an agile design methodology. Develop new creative solutions to challenges presented by fraud and scam activity, leveraging outside-the-box thinking. Interpret machine learning model outputs into business strategies and conveying to operations. Work with technology teams to build out cutting-edge solutions, product teams to refine product offerings and controls to better reduce fraud and scams, and operations to ensure frontline agents are reacting to the latest fraud/scam trends. Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent and scam activity. Communicate complex data into a clear story to team members and senior leaders. Collaborate with cross-functional teams to ensure successful implementation of fraud and scam risk strategies. Ensure strategic compliance with internal controls and regulatory requirements. Monitor the ongoing performance of existing rules and strategies and recommend adjustment and enhancement opportunities. Build automated reporting solutions to track ongoing strategy performance and emerging fraud and scam trends.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Computer Engineering, Management Information Systems, or related field of study plus 4 years of experience in the job offered or as Strategic Analytics, Fraud Data Analytical Officer, Data Analyst, SQL Developer, Software Engineer, or related occupation.

Skills Required: This position requires four (4) years of experience with the following fields: Risk Management such as Fraud Risk Management or Credit Risk Management, Data Science including Modeling, Machine Learning and AI, and Data Visualization and Reporting, or Strategic Analytics such as Marketing or Payment Analytics. This position requires any amount of experience with the following: Interpreting account-level or transaction-level datasets at US based Consumer Banking institutions to evaluate their impact on operational and financial areas in uncovering fraudulent patterns and behaviors; Creating and defending storyboards, and designing and developing interactive reports using Excel and PowerPoint advanced functionalities including LOOKUP, index match, data analysis add-ons, Pivot Tables, VBA, and VBScript to present insights from fraud analysis to both analytic and non-analytic stakeholders; Detecting fraud patterns using statistical concepts, data analysis techniques and machine learning methods including logistic regression, multivariate regression, classification techniques, and predictive modeling; Designing and analyzing experiments to test hypotheses related to fraud detection and prevention, ensuring robust and reliable results; Performing data manipulation, data structuring, data design flow, and query optimization to enhance the identification of fraudulent activities using Python, SAS, R, and SQL.

Job Location: 201 N Walnut St, Wilmington, DE, 19801

ABOUT US

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.