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Wholesale Payments - Fraud Analyst - VP

Dublin, Ireland | J.P. Morgan

  • Industry:
    Financial Services
  • Position Type:
  • Functions:
    Legal / Compliance
  • Experience:
    5-7 years
Job Description:
151 people have viewed this job

Work closely with internal teams and clients to both respond to queries and to identify opportunities to fight fraud and add value using analytics

Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client and internal engagement

Self-starter with good technical knowledge and hands on approach to delivering and using solutions with available data assets

Establish and embrace guidelines to ensure consistency and high quality of delivery materials in appearance, tone, and style

Represent JP Morgan at payment risk industry forums such as Visa, Mastercard, Merchant Risk Council


Synthesize analytical findings for consumption by Relationship Managers and clients

Develop preliminary hypotheses rapidly, focusing on the most important insights to help clients optimize across all aspects of payment processing but with a particular focus on online fraud

Be a story teller capable of delivering practical data insights in a compelling actionable manner

Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations

Become a trusted advisor and thought leader on Business data and Payment related analytical techniques

Establish and manage relationships with internal partners and key strategic clients

Maintain deep subject matter expertise in fraud and fraud prevention.

Understanding of global payment and fraud trends and ability to present these trends and their impact on our business to both internal and external stakeholders

Be knowledgeable in the wider payments domain  

Invent creative and innovative ways to answer key optimization questions by leveraging existing data assets or creating new ones

Demonstrate intellectual curiosity for solving difficult problems

Utilize modern data science and analytics tools as part of day to day role


5+ years of industry experience in fraud roles with hands on analytical experience (e.g., fraud consulting, data analysis)

Bachelor’s degree required, advanced degree preferred in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics)

Ability to work in both small and large project teams, as a self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic

Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing, preparing data, creating new features, evaluating quality, etc.), and executes with precision

Influencer with great interpersonal skills and proven ability to achieve alignment

Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives

Strong aptitude for technical concepts and ideas

Experience across a broad range of modern data science and analytics tools (e.g., Tableau, Cognos, SQL, Hive, Hadoop, Spark, Python, R)

Familiarity of e-commerce payments, fintech, card acquiring or issuing.

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