Senior Manager, Fraud Servicing Strategy (Data Science)
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
An exciting opportunity exists to join our fast-paced Fraud Risk Servicing Strategy team which focuses on applying analytical and capability/process improvement discipline to advance customer-facing, agent-facing, and automated processes to drive meaningful reductions in fraud losses and operational costs, a seamless customer and agent experience, while ensuring a robustly governed, compliant, flexible, and modern end-to-end process serving millions of credit card and bank product consumers.
Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
Recruits, trains, coaches and develops talents to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manages and sets priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
Ensures standard work processes and documentation requirements are timely and consistently followed by team. Encourages continuous improvement of team processes and share across functional teams to ensure consistency.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics or related field
6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
2+ years of experience in People Management
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Statistics or related field
8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
4+ years of experience conceptualizing, defining, and deploying business capabilities and process improvements
Seasoned negotiator/influencer of win-win solutions spanning range of stakeholders
Direct/indirect experience in customer servicing environment
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The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.