Manager, Financial Crimes Analytics (AI/ML)

Location: Saint Petersburg, Florida, United States; resident workstyle. Other location: Pittsburgh, Pennsylvania, United States. Travel: less than 25%.

Company

hirify.global is a financial services firm focused on client-first service, integrity, independence, and long-term decision-making.

What you will do

• Lead complex surveillance model design, development, testing, tuning, and optimization across AML, Fraud, KYC, and Sanctions.
• Design and refine detection scenarios, statistical models, thresholds, segmentation, risk scoring, and AI/ML approaches.
• Lead ATL, BTL, back-testing, model efficacy assessments, sensitivity analysis, and performance monitoring.
• Investigate missed or non-detected activity, false positives, data defects, and model performance deterioration.
• Configure and optimize Fiserv FCRM, LexisNexis Bridger, Fiserv Payments Exchange, PEP+, Signature, Fenergo, and related integrations.
• Partner with Model Risk Management and business stakeholders on governance, validation, audits, regulatory requests, and technical recommendations.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Finance, Business, or a related field.
• Six or more years of experience in financial crimes analytics, model development, data science, quantitative analytics, or related work in financial services, FinTech, or consulting.
• Knowledge of financial crime detection and regulatory expectations across AML, Fraud, KYC, and Sanctions.
• Knowledge of surveillance model lifecycle, scenario logic, threshold calibration, segmentation, model risk governance, statistics, predictive analytics, machine learning, and model performance measurement.
• Advanced SQL, Python, statistical analysis, and model development and testing frameworks.
• Experience developing and tuning rules-based, statistical, and AI/ML detection models.
• Experience analyzing large datasets, engineering features, diagnosing model performance issues, and conducting ATL/BTL testing and back-testing.
• Hands-on experience configuring, tuning, testing, troubleshooting, and optimizing Fiserv FCRM, LexisNexis Bridger, or comparable financial crime tools.
• Ability to communicate complex findings to technical, business, governance, and leadership stakeholders and independently lead complex initiatives without direct people-management authority.

Nice to have

• Relevant data science, machine learning, cloud, or financial crimes certifications.

Culture & Benefits

• Benefits may include medical, dental, vision, life, critical illness, accident, disability, retirement savings, paid vacation, holidays, sick leave, and parental leave.
• People-first culture centered on developing, collaborating, deciding, delivering, and improving.
• Focus on professional growth, accountability, client-focused decisions, inclusion, and respect for individual backgrounds.