Sr. Analyst, Financial Crimes Analytics

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.

Job Description

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.

Education/Previous Experience

• Bachelors 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.

Education

Work Experience

Certifications

Travel

Less than 25%

Workstyle

Hybrid

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 .

At Raymond James our associates use five guiding behaviors (Develop Collaborate Decide Deliver Improve) to deliver on the firms 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. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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