Job Description
Quant Analytics Lead Associate – Fraud
Remote, United States
Full time
- Visa sponsorship is not available for this role.Essential Job Functions
- Individual will perform a broad range of quantitative risk analyses to support the Fraud Modeling & Analytics team within Enterprise Fraud Services (EFS), including model development, ongoing monitoring and validation activities primarily related to fraud detection and prevention.
- Develop/assist with the design and/or testing of in-house and vendor fraud models; includes working on coding, inputs, methodologies, testing, ongoing monitoring and periodic tuning.
- Adhere to a strict ongoing monitoring schedule; provide analytical results to Model Owners and assist in evaluating model reliability/performance.
- Write/review documentation to comply with KeyBank model governance standards and regulatory expectations.
- Partner closely with the business to plan and execute fraud strategies.
- Bachelors degree and 3+ years of experience or Masters and 1+ years of experience
- 2 to 3 years of experience in model development and/or data analytics.
- Superior programming skills and demonstrated modeling experience in Python and R as well as SAS, SQL or other advanced statistical/econometric analysis software. Experience leveraging the Google Cloud Platform for analytics is a plus.
- Proficiency in the use of Microsoft Office with advanced experience in Excel.
- Advanced knowledge of statistics/econometrics and excellent analytical ability.
- Extensive data management skills.
- Demonstrated skill in effectively communicating (verbal and written) analytical results and experiences to a diverse audience; ability to respond to client questions with clear/effective answers and give cohesive presentations.
- Exceptional project management and organization skills, ability to support several projects simultaneously to meet strict deadlines.
- Excellent problem-solving and decision-making abilities
- Strong interpersonal skills; ability to work well in a team environment.
- Familiarity with KeyBank systems and how to maximize the use of customer and transaction data in these systems.
- One or more years of experience in financial crimes modeling, preferably fraud.
- Knowledge of regulatory and industry standards impacting fraud detection, analytics, trends, and programs.