
Fraud Strategy Product Associate
- Edinburgh Midlothian
- Permanent
- Full-time
- Working with Analytics on the Implementation of rules and strategies in the fraud monitoring systems
- Working with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective.
- Sharing best practice across JP Morgan Chase & Co.
- Delivery of an end to end digital fraud decisioning strategy that optimizes fraud detection and client experience utilizing fraud scores and rules across a disparate set of vendors and fraud vectors
- Drive fraud strategies using data from multiple fraud prevention vendors - Optimize these to ensure decisioning capability is enhanced to protect customers and the firm from fraud.
- Ownership of a Detection and decisioning strategy that ensures we have key data fields flowing into the fraud monitoring system that can optimize fraud strategy and rulesets
- Identification of future fraud risks that are driven by product or channel development and mitigation of these risks through appropriate strategies
- Working across a wide group of teams (product teams, payments, engineering, technology, risk) to ensure that key partners are aware of all of the fraud
- Communicate effectively across teams and gain credibility by understanding end to end impacts of the fraud strategies that are implemented
- Collaborate effectively with colleagues across the firm including: business, technology, product management, operations management, legal, compliance, risk, audit, and technology control functions to drive engagement with the fraud prevention program of work
- Key understanding of innovation and operational impacts of managing digital fraud detection strategy with multiple input data points from a wide range of vendor systems
- Monitor and optimize model performance by developing a strong working relationship with the specialist Risk Models team.
- Act as a fraud subject matter expert for the SME Business and share best practice across the firm
- Bachelor's degree or equivalent experience required, ideally in a science, computing, engineering or mathematics based subject
- Experience in a first or second line fraud role, in a policy, strategy or analytics specialism, with knowledge of SME.
- Experience of delivering in an agile environment.
- Experience of working with authentication strategy and authentication tools (behavioral biometrics / device intelligence)
- Experience in management / optimisation of fraud prevention tools. Eg Sira / Hunter, ThreatMetrix, Falcon, Arcot, RSA, FeatureSpace ARIC, and behavioural biometrics vendors
- Exceptional problem solving and analytical skills. Solid critical thinking and analysis in technical scenarios, attention to detail and able to synthesize large amounts of data and formulate creative and innovative solutions to complex problems.
- Ability to solve problems from first principles, taking innovative approaches to address user needs.
- Communication/presentation - excellent written and verbal communication skills with an ability to influence business leaders in a meaningful and actionable manner.
- Networking -interpersonal skills; collaboration, openness and relationship building skills
- Able to work autonomously to affect change - flexible, adaptable to shifting priorities; manages competing priorities to achieve the most effective result and able to work in a fast-paced, results driven environment.
- Vendor management - ability to understand a vendor product offering and ability to integrate into current technology stack
- Ideally will have a background in banking or consumer products, clear interest in innovation and technology.