BSA/AML Modeling Analyst

Flagstar Bank•Troy, NY

19h•$61,509 - $106,050•Onsite

About The Position

The BSA/AML & Sanctions Data & Modeling Support Analyst serves as the operational engine behind the BSA/AML Data, Systems & Models team. This is a hands-on delivery role for a data professional who is fluent in Python and SQL, comfortable managing complex ETL pipelines, and is the team's go-to resource for data quality, model monitoring, and Actimize UAT execution. Owns the day-to-day data infrastructure that keeps models running, dashboards current, and offshore work coordinated and on-track. Plays a critical enabling role in OCC MRA remediation efforts, Actimize go-live support, and the scaling of the team's GenAI and automation initiatives. Responsible to write code, own pipelines, and produce the data outputs that power everything above you.

Requirements

High School / High School Equivalency (GED, HiSET, TASC) / Foreign Equivalent
2 years substantive, hands-on data engineering or analytics experience with applicable skills, ideally in a regulated financial services environment.
Python: Strong, production-quality Python for ETL, data processing, and automation scripting. Proficient in pandas, NumPy, and relevant data engineering libraries. Comfortable managing code in a shared repository (Git).
Snowflake / SQL: Hands-on Snowflake experience for data extraction, transformation, and analytical queries across multi-source BSA/AML data environments.
Power BI: Ability to design and deliver compliance-grade operational dashboards that surface model performance, alert trends, and KPI/KRI data to non-technical stakeholders.
Data Quality Engineering: Experience identifying, documenting, and remediating data quality issues in a pipeline or analytics context — not just flagging them.
Attention to Detail: BSA/AML monitoring and regulatory data require precision. You are the person who notices when a number looks off and digs until you understand why.
Communication: Comfortable writing clear technical documentation and coordinating across offshore teams, vendor partners, and internal stakeholders. Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results. Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience. Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.

Nice To Haves

Bachelor's degree in a quantitative, technical, or business discipline is preferred; equivalent demonstrated experience will be considered.
Prior exposure to Actimize FCRM, SAM, or WLX — even as a data consumer or UAT participant.
Familiarity with ML model monitoring concepts (PSI, KS, score drift) even without end-to-end model development experience.
Experience working in a bank, fintech, or compliance technology environment — second-line or model support functions preferred.
Exposure to GenAI in a data engineering or compliance automation context.
Basic understanding of BSA/AML concepts — transaction monitoring, CTR/SAR obligations, CRR, EDD, sanctions screening — sufficient to understand the meaning of the data you are moving.
Experience working with or coordinating offshore delivery teams in a structured, documentation-heavy environment.

Responsibilities

Own BSA/AML data quality remediation: identifying, documenting, and resolving upstream data issues across transaction monitoring, EDD, CRR, and sanctions data feeds.
Build and maintain Python and SQL based ETL pipelines that transform raw data into model-ready datasets, monitoring inputs, and compliance reporting extracts.
Develop and maintain data dictionaries, lineage documentation, and quality control logs required for MRM review and OCC examination readiness.
Support Enterprise Data Hub integration and BSA/AML data mart build-out — coordinating with IT and data governance teams to resolve data access and quality issues.
Construct and maintain reusable, well-documented data processing libraries used by the broader team and offshore resources.
Execute scheduled model monitoring runs for CRR, TM, EDD, and Sanctions models — generating stability reports (PSI, KS, Gini, score distribution), exception flags, and monitoring memos.
Maintain model monitoring calendars, documentation repositories, and MRM evidence packages aligned to the model inventory.
Build and maintain Power BI dashboards providing compliance leadership and FIU operational teams with real-time visibility into alert volume, model performance, and KPI/KRI trends.
Track and report on alert-to-case conversion rates, false positive trends, and investigation cycle times across Actimize and ancillary platforms.
Lead UAT execution for Actimize FCRM go-live and post-production releases — scripting test cases, documenting results, and escalating defects in coordination with the product team.
Maintain Actimize UAT documentation and test evidence packages to the standard required for MRM and OCC review.
Support Actimize data feed validation — ensuring transaction, customer, and account data flowing into TM and case management meets quality thresholds.
Serve as a technical point of contact for offshore team members executing Actimize-related data and UAT tasks.
Serve as the day-to-day task lead for 2–4 offshore data and model resources — translating Manager and Director priorities into structured work assignments, tracking delivery, and reviewing outputs.
Conduct quality review of offshore deliverables (pipeline code, monitoring reports, UAT logs) before they are submitted for Manager or Director sign-off.
Maintain sprint-style work tracking (Jira, Azure DevOps, or equivalent) to give leadership visibility into offshore capacity and delivery status.
Escalate blockers, data access issues, and quality concerns to the Manager of Data & Modeling with recommended resolution paths.
Performs special projects, and additional duties and responsibilities as required.
Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings.
Accountable to maintain compliance with applicable federal, state and local laws and regulations.