Vice President Business Analysis Manager - Fraud Prevention

JobID: 210528933

Category: Business Analysis

JobSchedule: Full time

Posted Date: 2024-07-01T13:33:03+00:00

JobShift: Day

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Embark on a rewarding and challenging career as a Business Analysis Manager with our dynamic fraud team. You'll have the opportunity to make a significant impact by improving our processes, supporting key initiatives, and expanding your skills in a supportive and collaborative environment. Join us and contribute to our mission while advancing your career.

The Fraud Prevention Strategy and Analytics team provides data-driven business intelligence to all major stakeholder groups within JPMorgan Payments across Corporate Investment Banking, Commercial Banking, Asset Wealth Management, Business Banking and the Corporate sectors. You will work with stakeholders across the JPMorgan Payments franchise to build strategic analytics, ML/AI and data capabilities which will enable the organization to optimize fraud detection and develop a strong fraud mitigation framework for Wholesale Payments processing business.

Within the Fraud Prevention Strategy and Analytics team, you will be part of a team responsible for the delivery of business-critical data and analytics deliveries relating to themes such as fraud detection/mitigation, trending, false positive reduction, analytics and rule development.

This is a hybrid (3 days in office/2 days remote) role, located in Tampa FL. This role does not offer immigration sponsorship.

Job Responsibilities

• Support 3-5 year horizon plans for Payments fraud strategy across all major core-cash products and stakeholder groups

• Work with a Machine Learning / Artificial Intelligence (ML/AI) data science team on analytical models to identify patterns in data, spot data anomalies & predict fraud trends, all of which facilitate fraud prevention, detection and recover.

• Manage a central Core-Cash Fraud Strategy team and aligned to the business goals/objectives to support JPM Payments.

• Drive very defined business objectives across KPI and KRI under Core-Cash Fraud Strategy which align to detection, prevention and facilitate data for recovery.

• Support Monthly Business Reviews (MBRs) to showcase the value-add of analytics, trending / ML/AI and data for the JPM Payments franchise, including the delivery of a cohesive communication strategy on data modernization to all major stakeholder groups (including Product, Relationship, Legal, Compliance, Cyber, Technology and cross-LOB data organizations)

• Act as a primary global escalation point for Fraud Detection related inquiries

• Support Ad-hoc research and resolution of daily issues, data requests, reporting requirements, as well as any regulatory requests that impact fraud data and analytics delivery.

• Drive the implementation and tracking of JPM Payments core-cash fraud detection rules and performance of such rules including data modernization and ML/AI initiatives.

• Work with the global product organization and wider stakeholder teams to create a consistent analytics, ML/AI and data execution model from a requirement prioritization and governance standpoint (where applicable)

• Articulate complex ideas and analytical communications in a succinct way, including being comfortable recording demos and presenting to large audiences and very senior executives.

Required Qualifications, Capabilities and Skills

• Minimum of 7 years' in financial services (e.g. in Payments, Treasury, Fintech, or any Corporate/Investment Banking function) with a data/analytics background

• Minimum of 2 years' experience leading a team and developing talent, managing projects and using project management tools (e.g., JIRA, confluence, Microsoft Teams)

• Must have a background in Fraud Prevention, Data Science, Analytics, Product Development & Technology

• Must have experience with working with technology and/or data scientists to build analytics ML/AI products is a requirement

• Must have excellent written and oral communication and presentation skills, with experience communicating effectively with diverse audiences - across business and technology partners, including senior leadership with high aptitude for influencing business decisions

• Must have the ability to influence and effectively lead cross-functional teams in a fast-paced environment where there are multiple, urgent priorities with short deadlines

• Self-starter with out-of-the box problem-solving skills, able to bring new ideas to life, particularly where business requirements are unclear/incomplete

• Must display keen attention to detail, strong organization skills, effective time management and thorough follow-up when bottlenecks prevent certain programs/controls from being delivered

Preferred Qualifications, Capabilities, and Skills

• Comprehensive IT knowledge - full suite of Microsoft Office products and ideally Alteryx / Python and/or Tableau knowledge to support data mining and data modelling

• The undergraduate degree should have some components relating to a quantitative field (e.g. Computer Science, Data Analytics, Economics, Statistics modules, Finance etc.)

• Basic knowledge of ML/AI modelling techniques that can be leveraged within the banking sector (e.g. supervised and unsupervised Machine Learning models)