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Senior analyst to manage AML models and data analysis for financial crimes.
Hybrid role in Saint Petersburg, FL focused on SQL, Python, and regulatory compliance.
Job Description Summary
This person is expected to be in office 50% of the time. (Half of the working days per month must be in-office)
The Senior Analyst, Financial Crimes Analytics (FCA), will assist in developing and maintaining the Anti-Money Laundering (AML) control environment involving tuning, calibration, segmentation and optimization of various AML Models for regulatory compliance. They will play a critical role in identifying, assessing, and mitigating Financial Crime risks across our organization, with a heavy emphasis on SQL and Python expertise, database management, and analytical problem-solving. Reporting to the Senior Manager, Financial Crimes Analytics, this role will work with members of the Financial Crimes Management (FCM) team to identify AML trends, control enhancement opportunities, and perform root cause analysis of non-detected activities while also presenting these findings to AML/ senior leaders. Additionally, the Senior Analyst will regularly interact with Technology teams during the design and testing of new models.
Essential Duties and Responsibilities
- Write advanced queries to extract, transform, and analyze large datasets from complex databases.
- Develop and enhance transaction monitoring, screening, and customer risk models.
- Perform ad hoc and strategic analysis on financial crime trends, customer behaviors, and operational risks.
- Work with large, sometimes messy, datasets ensuring data quality, consistency, and governance.
- Create reports for stakeholders, regulators, and internal risk committees.
- Translate business questions into analytical solutions and communicate findings clearly to non-technical stakeholders.
- Collaborate with technology teams to define data requirements, optimize database structures, and support analytics infrastructure improvements.
- Stay current with financial crime threats, emerging typologies, and regulatory expectations.
Knowledge, Skills, and Abilities
Knowledge of
- Financial crime risks, including money laundering, sanctions evasion, and regulatory expectations (e.g., BSA/AML, OFAC, FATF).
- Relational database concepts such as normalization, indexing, partitioning, and query optimization.
- Data management principles, including data quality, lineage, governance, and privacy standards.
- Industry-standard financial crimes systems (e.g., transaction monitoring, case management, entity resolution platforms) is a plus.
- Data Ingestion tools such as Alteryx, AWS Glue, Informatica, etc.
- Fundamentals of statistics and Machine Learning.
Skill in
- Writing complex queries, optimizing performance, and managing large datasets.
- Scripting in Python, or similar languages to support data extraction and automation efforts.
- Working across various databases such as Oracle, SQL Server, Redshift, Mongo DB, etc.
- Conducting descriptive, diagnostic, and trend analysis on structured and semi-structured data.
- Communicating technical findings clearly to both technical and non-technical audiences.
- Developing visualization reports using tools like Tableau, Qlik, Power BI, or Python libraries is a plus.
Ability to
- Translate ambiguous business questions into structured data analysis projects.
- Work independently on complex problems while collaborating effectively across teams.
- Manage multiple projects simultaneously with attention to deadlines, priorities, and accuracy.
- Think critically and creatively to detect anomalies, emerging risks, and operational inefficiencies.
- Adapt to rapidly changing regulatory, operational, or organizational environments.
- Uphold the highest ethical standards when working with sensitive financial and customer data.
Educational/Previous Experience Requirements
Education/Previous Experience
Bachelor’s degree (B.A.) from a four-year College or university or equivalent experience in Computer Science, Data Analytics, Business, Finance, MIS or related fields
Three (3) or more years’ experience working on technical teams in Anti-Money Laundering (AML) compliance, Cyber Investigations/Fraud, enterprise technology and/or analytics in financial services, banking, asset management, FinTech, or consulting
~OR ~ Any equivalent combination of experience, education, and/or training.
Licenses/Certifications
Amazon Web Service (AWS) certifications are a plus but not required.
Travel Less than 25%
Workstyle Hybrid
Compensation and Benefits
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
Company Culture
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm’s core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive.
Equal Opportunity Employer Statement
The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs. The Company is a nondiscriminatory employer and it does not discriminate against anyone on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, disability, genetic information, veteran status, or any other protected characteristic in accordance with applicable laws.