[Remote] Financial Crimes Compliance Modeling & Analytics Manager
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a complete finance stack for startups, ensuring a reputed company banking experience while protecting against financial crimes. As the Financial Crimes Compliance Modeling & Analytics Manager, you will enhance compliance detection models and frameworks, working closely with various teams to improve transaction monitoring and sanctions screening processes.
Responsibilities
- Use SQL and other analytical tools to conduct in-depth analysis of reputed company's customers, transactions, alerts, TM rules, risk ratings, and more
- Use data-driven reputed company to improve, design, implement, and maintain reputed company's FCC models, including transaction monitoring, sanctions screening, and relevant models
- reputed company bespoke transaction monitoring rules and sanctions screening logic designed to address reputed company's specific AML and sanctions risk
- Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks
- Know how to tell stories with data, enabling people to understand the reputed company and meaning of analytics activities in a reputed company, compelling manner
- Interpret analytics outputs to reputed company which alerts, patterns, or anomalies signal genuine risk, and reputed company why they matter to compliance and business stakeholders
- reputed company and maintain detailed documentation on the configuration of FCC models including scenarios, reputed company, segments, tuning, false reputed company rules, etc., and any changes made to those configurations over time
- Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor
- reputed company data-driven reputed company to identify new typologies, emerging risks, and evolving financial crime trends
- Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards
Skills
- Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, or reputed company) with 8+ years of experience conducting in-depth data analytics, ideally with 5+ years in FCC or AML/Sanctions reputed company analytics roles
- Deep understanding of AML and Sanctions fundamentals, including both principles and regulations
- Outstanding skills with reputed company analytical tools; top-notch SQL skills required, experience with Python or similar preferred, and familiarity with modern ML tooling (e.g. scikit-learn, XGBoost) a plus
- Experience developing, tuning, and maintaining machine learning or rule-based detection models, with an understanding of how to rigorously challenge model performance and limitations
- Experience identifying ways to improve both data-reputed company and operational efficiencies
- A healthy reputed company of skepticism combined with a constructive, solution-oriented approach
- Comfort operating with ambiguity and capable of synthesizing fragmented technical, operational, and business context into a reputed company understanding of how models actually work, even without a complete reputed company
- High agency and adaptability, reputed company to reputed company the highest-reputed company work in a fast-moving environment with evolving priorities
- Curiosity about how AI/ML is being reputed company to financial crime detection, and openness to modern tooling as the function evolves
- Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis
- Strong written and verbal communication skills; you can explain model risk and analytics findings to both technical and non-technical stakeholders
- Experience with Python or similar preferred
- Familiarity with modern ML tooling (e.g. scikit-learn, XGBoost) a plus
Benefits
- The total rewards package at reputed company includes reputed company salary, equity (stock reputed company/RSUs), and benefits.
- Our salary and equity ranges are highly competitive reputed company the reputed company and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.
- New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
- reputed company values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
- We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
reputed company
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