This role will support the Wholesale Payments Operations Control program, working in partnership with Operations, Technology, Product and Sales to continually identify transaction behavior and implement technology/process/policy enhancements to protect the firm and client interests.
The responsibilities for the Business Analysis and Reporting (Fraud Analytics) VP will include:
Oversight for deliverables for the Reporting and Analytics team
Daily, weekly, monthly and ad-hoc reporting
Data Analytics
Document and package status updates and proposals to senior management
Perform data mining, predictive analytics, and problem solving
Develop and apply algorithms and models with ability to clearly explain them to Management, Operations and Technology teams
Work closely with Technology and Operations to develop requirements and implement new capabilities
Proactively engage to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams
Develop presentations for senior executives
Qualifications
Undergraduate (4 year) or Master's degree in Business, Finance, Mathematics, or related field required
Minimum 3 years of relevant work experience
Proven ability to multitask with a sense of urgency
Able to adapt quickly
To new functional areas and/or concepts
To changing and or competing priorities
Proven strong analytical and communication skills
Advanced Microsoft Excel skills (pivot tables, macros, look-up functions, etc.)
Strong Proficiency with other Microsoft Applications (PowerPoint, Access, Visio, Word)
Articulate, confident and capable to communicate and influence Senior Executives
Ability to organize complex data, analyze financial data in a fast-paced environment
Problem solving, good critical thinking, and decision-making skills
Experience/understanding of Business Process/modeling concepts
High Attention to Detail
Self-Motivated and driven to achieve targets and deliverables
Leverage creative analytical problem-solving skills while using large data sets from a broad range of sources
Preferred
Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis
Proven strong analytical and communication skills
Aptitude and curiosity for developing machine learning solutions to solve business problems
Domain experience in fraud detection / anomaly detection
Experience in leading small technical teams
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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
