Lead Financial Crimes Analytics & ML Detection

100 Raymond James & Associates, Inc.; Saint Petersburg (FL); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Benefits

Retirement Savings

Paid Time Off

Parental Leave

Résumé du poste

Raymond James seeks a Manager, Financial Crimes Analytics to design, test, tune, and optimize detection models across AML, Fraud, KYC, and Sanctions programs. You will lead hands-on surveillance model development while providing technical leadership to the team and stakeholders.

You will partner with Technology, Model Risk Management, and business partners to strengthen detection, establish testing standards, and enable scalable model capabilities across platforms such as FCRM and Bridger.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Finance, Business, or a related field.
• Six (6) or more years of experience in financial crimes analytics, model development, data science, quantitative analytics, or related work in financial services, FinTech, or consulting.

Responsabilités

• Serve as the technical lead for complex surveillance model design, development, testing, and optimization across Financial Crimes domains.
• Design, code, test, and refine detection scenarios, statistical models, thresholds, segmentation, and risk-scoring methodologies.
• Lead above-the-line (ATL), below-the-line (BTL), back-testing, and model efficacy assessments to identify coverage gaps and tuning opportunities.
• Develop and monitor model performance metrics, health indicators, and early-warning processes; investigate performance deterioration and recommend corrective action.
• Configure, test, tune, and optimize financial crimes detection platforms, including Fiserv Financial Crime Risk Management (FCRM) and LexisNexis Bridger; support integrations with Fiserv Payments Exchange, PEP+, Signature, and KYC platforms such as Fenergo.
• Apply statistical methods to model development, feature selection, tuning, validation support, and performance evaluation.
• Establish consistent standards for model testing, tuning, documentation, change control, and reproducible analytical results.
• Perform hands-on root cause analysis of missed or non-detected activity, false positives, and model/data defects.
• Partner with Model Risk Management and stakeholders on model governance, independent validation, audit, regulatory, and legal requests.
• Present model performance findings, technical recommendations, and risk-based tradeoffs to Financial Crimes leadership.

Connaissances

Advanced SQL

Python

Statistical analysis

Model development/testing

Formation

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Finance, Business, or a related field

Outils

Fiserv FCRM

LexisNexis Bridger

Fenergo

Fiserv Payments Exchange

PEP+

Signature

Description du poste

Raymond James seeks a Manager, Financial Crimes Analytics to design, test, tune, and optimize detection models across AML, Fraud, KYC, and Sanctions programs. You will lead hands-on surveillance model development while providing technical leadership to the team and stakeholders.

You will partner with Technology, Model Risk Management, and business partners to strengthen detection, establish testing standards, and enable scalable model capabilities across platforms such as FCRM and Bridger.