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Posted Apr 23, 2026

Manager of Data Science – AI & Machine Learning Solutions for Financial Services

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About arenaflex

At arenaflex, we believe that how we serve our clients is continually evolving, and we embrace this challenge as an opportunity to innovate and lead. Whether we're discovering better ways to prevent identity fraud or empowering entrepreneurs to launch new businesses, we work with some of the most significant datasets in the world to uncover insights and actions that can profoundly impact our clients and our business. As a leader in the financial services industry, arenaflex offers unparalleled opportunities to learn from pioneers who have defined the course of our sector, enabling you to grow your career and chart your own professional path.

As a brand built on exceeding all expectations to deliver the best customer experience, having the most exceptional team members is fundamental to our success. As the essence of our organization, you'll have the opportunity to make positive connections with our clients every day—from planning extraordinary travel or lifestyle experiences to helping them with their everyday needs. Moreover, you'll develop your skills through industry-leading training and continuous education, all while knowing that you're helping set the standard for high-quality, client-first service.

Join Our Choice Science Team

Choice Science partners serve as critical members of the Credit and Fraud Risk organization at arenaflex. We are seeking a thought leader and problem solver who can blend business, technical, and industry best practices in developing the analyses, models, and algorithms that power our clients' digital experiences.

This essential team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and business networks, and across all of our global products. We develop industry-first data capabilities, build decision-making frameworks, create AI-powered predictive models, and improve client servicing strategies.

Our Choice Science teams use industry-leading modeling and AI practices to predict client behavior. We develop, deploy, and validate predictive models and support the use of models in financial logic to enable efficient decisions across credit, fraud, marketing, and servicing optimization engines.

Key Responsibilities

As a Manager of Data Science at arenaflex, you will play a pivotal role in transforming how we serve our customers through data-driven insights and innovative machine learning solutions. Your responsibilities will include:

Essential Qualifications

We are looking for candidates who bring a unique blend of technical expertise and business acumen to our team. The ideal candidate will possess:

Skills and Competencies Required for Success

To thrive in this role at arenaflex, you will need a combination of technical skills, business acumen, and personal attributes:

Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to helping our employees grow and develop throughout their careers. As a Manager of Data Science, you'll have access to:

Work Environment and Company Culture

arenaflex fosters a dynamic and inclusive work environment where innovation thrives. Our culture is built on:

We believe that our greatest asset is our people, and we invest heavily in creating an environment where everyone can succeed and grow.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package that includes:

Join Our Team

Are you ready to make an impact? Are you passionate about using data to drive meaningful change? Do you want to work with some of the brightest minds in the industry?

If you answered yes to these questions, we invite you to join arenaflex and become part of a team that's transforming the financial services industry through innovation and excellence. Find your place in risk and analysis on #TeamArenaflex.

We encourage you to apply today and take the first step towards an exciting and rewarding career with arenaflex. We look forward to welcoming you to our team!

Work Hours: 8 Hours
Employment Type: Full Time
Location: New York, USA