Location: Seattle, WA, United States

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries.

As a Data Science leader within the Payments Organization, you will draw on your expertise in business and technology to spearhead solutions that power our strategic goals. Your role is one of trusted advisor and dynamic leader; big-picture visionary and experienced technologist. You'll be working closely with other senior leaders across the firm to understand and influence strategic decisions.

As a Trust & Safety employee within the Payments Organization, you will be at the forefront of Fraud Prevention in the business domains of Fraud Prevention (for both Card and ACH/ Wire channels), Sanctions, Onboarding Risk and other similar problems. Fraud is a temporal problem - you will perform deep dives and guide your team members to maintain a laser focus on the emerging threats and influence the development of the appropriate solutions (ML/ rules) to address the problem. You will develop the right metrics to measure business performance on an ongoing basis. You will closely work with machine learning scientists, SDEs and Product managers to build the fraud prevention solution.

Job Responsibilities

• Collaborate with business, operations and other technology colleagues to understand company needs and devise technical solutions
• Develop the roadmap of projects while partnering with various stakeholders for product delivery
• Research and analyze data sets using a variety of statistical techniques
• Develop solutions and work with partner teams to implement the solutions in production
• Communicate results and ideas to key decision makers
• Hire and Develop of the team and provide mentoring and coaching 

Required  qualifications, capabilities  and skills:

• BS/BA degree with 6+ years of experience
• Expert knowledge of digital Fraud Prevention, as well as the ability to understand the relationship between strategic goals and technology solutions
• Expertise in deep diving into the Fraud vectors and working with colleagues to build out solutions to address fraud problems.
• Proven skills in data analysis, business process and application, and communication
• Expertise in working in partnership with colleagues throughout the firm and in leading collaborative teams to achieve common goals

Preferred qualifications, capabilities and skills :

• Ability to independently research and propose alternatives with some guidance as to problem relevance
• Experience with consumer finance products or domains like working capital, fraud prevention etc.

Lead Data Science for Payments Trust & Safety. Drive fraud prevention, partner with ML and product, build metrics, mentor team.