Location: OH, United States

Join our Fraud Strategy team to detect emerging fraud patterns and translate complex data into strategies that prevent losses and protect customers. Youll partner across Risk, Operations, and Technology to build and test detection tools, sharpen key risk indicators, and deliver insights that drive decisions at senior levels.

As a Quant Analytics Associate on the Consumer & Community Banking Fraud Strategy team, you will manage fraud risk strategies and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will also frequent interaction and communication with cross-functional partners and presentation to managers and executives. You will excel at creative thinking and problem solving, be self-motivated, confident, and ready to work in a fast-paced energetic environment. 

Job Responsibilities: 

• Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities 

• Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale

• Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud. 

• Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure 

• Ability to work collaboratively with cross-functional partners to understand and address key business challenges 

• Identify business opportunity by performing well thought analysis Data mining, ensuring data integrity, synthesizing and communicating findings to senior management

• Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools

• Providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

Required Qualifications, skills, and capabilities:

• Bachelor's degree in a quantitative discipline 

• Relatable work experience in a financial services organization, 4 or more years experience in fraud/risk/payments or related field

• Proven track record in solving business problems, AND/OR, Project Management Skills -- well-organized, structured approach.  Ability to achieve tight timelines on complex deliverables.  

• Required technical skills may include SQL, SAS, Teradata, Oracle, Alteryx, Snowflake, Python and MS Office related products including Excel (Pivot tables, charts / graphs and formulas).

• Must be a team player; Excellent relationship management skills

• Self-starter with ability to drive for resolution

• Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

 

Preferred Qualifications, skills, and capabilities:

• Master's degree (OR related work experience) in a quantitative discipline preferably in a financial services organization plus 2 or more years experience in fraud/risk/payments or related field

Analyze data to design fraud detection strategies that cut losses and customer impact; partner across teams.