Quantitative Modeling Analyst II

BOK Financial • Addison, TX

4d • Onsite

About The Position

The Quantitative Modeling Analyst II will support Fraud Risk Management by developing and maintaining fraud-classification models for new product launches, beginning with wire transactions and expanding to ACH and other transaction types. The analyst will work with fraud, data, and technology partners to build, train, maintain, and tune classification models in DataVisor, and help develop additional models in-house as fraud detection expands. A separate team prepares the data; this role evaluates that data through statistical testing, identifies important model features, reviews model results, and adjusts models to improve performance. The position uses SQL and Python or R to analyze data, assess feature importance, and build and monitor models. It is suited to someone interested in taking direct ownership of models. The team is collaborative and forward-thinking, emphasizing curiosity, careful problem-solving, shared accountability, and continued learning about both the technical work and the business behind the models. The role is based in an office and involves occasional travel.

Requirements

• Bachelor’s degree in Finance, Economics, or a STEM field.
• At least 1 year of quantitative analysis experience in a discipline relevant to risk management, including statistical or econometric analysis, modeling, or mathematics.
• At least 1 year of experience with analytics software such as SAS, R, SPSS, or Matlab and relational databases such as SQL.
• Solid understanding of model performance measures.
• Solid understanding of model development and validation methodologies and processes.
• Strong project management skills.
• Ability to produce high-quality technical documentation.
• Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 11-7), Basel II/III capital requirements, and Dodd-Frank Act Stress Testing (DFAST).
• Self-motivation, discipline, task focus, and a record of delivering high-quality results within strict deadlines.
• Intellectual curiosity, strong problem-solving ability, attention to detail, and prompt follow-through.
• Ability to aggregate and synthesize complex data.
• Outstanding oral and written communication skills.
• Ability to present complex issues clearly and concisely.

Nice To Haves

• Master’s degree in Finance, Economics, or a STEM field.
• CFA, FRM, or CPA designation.
• Fraud experience.
• Experience building or maintaining classification models.

Responsibilities

• Build fraud-classification models for new product launches, starting with wire transactions and expanding to ACH and other transaction types.
• Evaluate prepared data using statistical testing to identify the features most relevant to each model.
• Train models in collaboration with fraud, data, and technology partners, reviewing results and performance.
• Maintain models developed through DataVisor and in-house models as fraud patterns and business needs change.
• Tune model settings and features based on test results and real-world outcomes.
• Partner with other teams to understand business needs, share findings, and turn data into practical fraud-detection strategies.
• Document modeling approaches, assumptions, test results, and changes for business and technical audiences.

Benefits

• Excellent training and development to support long-term employee careers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level