Data Science Senior Director

Posted 12 Days Ago
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Atlanta, GA
In-Office
Senior level
Fintech
The Role
The Senior Director of Data Science leads the Fraud Prevention Program, developing analytics strategies and machine learning models to mitigate fraud, while managing a high-performing team and collaborating across departments.
Summary Generated by Built In

Job Description

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.

What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.  Are you ready to make your mark? Then you sound like a Worldpayer!

About the role:

We are seeking a strategic and visionary Senior Director of Data Science to lead our Fraud Prevention Program. This role will oversee the development and execution of advanced analytics, machine learning models, and data-driven strategies to detect, prevent, and mitigate fraud across the organization. The ideal candidate will combine deep technical expertise with strong leadership and cross-functional collaboration skills to drive innovation and safeguard our business and customers.

Key Responsibilities:

  • Strategic Leadership
    • Define and execute the data science roadmap for fraud detection and prevention.
    • Align fraud analytics initiatives with enterprise risk management and compliance goals.
    • Lead and mentor a high-performing team of data scientists, analysts, and engineers.
  • Fraud Analytics & Modeling
    • Develop and deploy predictive models and anomaly detection systems using machine learning and statistical techniques.
    • Monitor model performance and continuously improve accuracy and efficiency.
    • Leverage big data platforms and real-time analytics to identify emerging fraud patterns.
  • Cross-Functional Collaboration
    • Partner with Fraud Operations, Compliance, IT, and Legal teams to ensure alignment and effective implementation of fraud strategies.
    • Communicate insights and recommendations to executive leadership and stakeholders.
  • Governance & Compliance
    • Ensure data science practices adhere to regulatory requirements and internal policies.
    • Establish model governance frameworks and documentation standards.
  • Innovation & Thought Leadership
    • Stay abreast of industry trends, emerging technologies, and regulatory changes.
    • Represent the organization at industry forums and contribute to thought leadership in fraud analytics.

What you Bring:

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field.
  • 5+ years of experience in data science, with at least 3 years in fraud analytics or risk management.
  • Proven leadership experience managing teams and complex projects.
  • Expertise in Python, R, SQL, Spark, and machine learning frameworks.
  • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
  • Strong understanding of fraud typologies, financial crime, and regulatory environments.
  • Excellent communication, stakeholder management, and strategic thinking skills.

What we offer you:

  • A competitive salary and benefits
  • A variety of career development tools, resources and opportunities
  • The chance to work on some of the most challenging, relevant issues in the payment

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Privacy Statement

Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Sourcing Model

Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

Top Skills

AWS
Azure
GCP
Python
R
Spark
SQL
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The Company
HQ: Cincinnati, OH
1,200 Employees
Year Founded: 1971

What We Do

Need to close complex deals with innovative solutions and dedicated service? Our payment solutions help further the average life of merchants, getting you a better bottom line.

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