Senior Merchant Fraud Engineer

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Job Description:

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)

Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline

Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Position Summary:

Merchant Fraud Technology team is looking for a Senior Engineer to define an architectural vision and solution that supports the strategic outcomes of the Merchant services programs building transaction risk rules engine and other enterprise projects.

Key responsibilities include defining the target operating environment, designing for resiliency, assisting with solution design and defining nonfunctional requirements. Also to evaluate the system impacts, be involved in technical design, troubleshooting the code along with analytical skill set and provide solutions.

Required Qualifications:

10 + years’ experience in:

Understanding and applying machine learning models to detect and prevent Fraud. This includes model development, deployment, and maintenance

Proficiency in data analysis techniques, including data visualization and pattern recognition to identify fraud trends

Strong Oracle DB modelling skills

Understanding of Payment networks

Desired Qualifications:

10+ years of experience with architecture and/or engineering on large scale critical systems

Degree in Computer Science, Software Engineering, or equivalent experience.

Skills:

Automation

Influence

Result Orientation

Stakeholder Management

Technical Strategy Development

Application Development

Architecture

Business Acumen

Risk Management

Solution Design

Agile Practices

Analytical Thinking

Collaboration

Data Management

Solution Delivery Process

Shift:1st shift (United States of America)

Hours Per Week: 40

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