Robinhood6 days ago
Data Solutions & Validation Sr. Specialist
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
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Denver
Responsibilities
- 01Perform independent, rigorous quantitative and qualitative analyses of rule-based and machine learning financial crimes surveillance models, filtering systems, and detection logic targeting model design, algorithm soundness, data integrity, and change management
- 02Act as a technical bridge within a fast-paced fintech environment by leveraging a solid foundation in data engineering, data modeling, and infrastructure
- 03Collaborate seamlessly with software engineers, data engineers, and data scientists to decipher complex logic, evaluate model implementations, test data pipelines, and support the remediation of model issues
- 04Execute effective tuning methodologies and statistical analyses to continuously calibrate and enhance surveillance models
- 05Work on strategic initiatives focused on maximizing risk detection capabilities while systematically reducing false positive volumes to ensure an efficient and effective alert review process
- 06Conduct comprehensive data validation and logic testing initiatives to establish a strong foundation of data quality
- 07Ensure the completeness, accuracy, and end-to-end reliability of critical data pipelines and inputs feeding our compliance models
- 08Serve as a knowledgeable subject matter resource in AML and Model Risk, providing practical domain insights and supporting cross-functional partners
- 09Build strong working partnerships across engineering, product, and compliance teams to ensure technical solutions are conceptually sound, effective, and aligned with our risk tolerance
- 10Uphold change and issue management policies for covered systems, models, and solutions, ensuring end-to-end traceability and maintaining defensible documentation
- 11Bring hands-on capabilities and experience leveraging AI tools, Large Language Models (LLMs), and automation techniques to enhance daily productivity, elevate deliverable quality, and optimize team workflows
- 12Author thorough, concise, and defensible validation reports, change and issues management documentation, and executive summaries
Requirements
- 01Bachelor's Degree or equivalent in a quantitative, technical, or financial field (e.g., Computer Science, Data Analytics, Statistics, or Finance)
- 025+ years of experience across AML, Financial Crimes, or risk management within the financial services or fintech industry
- 033+ years of direct experience in the verification, validation, testing, or tuning of AML rule-based systems and/or machine learning models
- 04Working knowledge of core Model Risk Management (MRM) principles and governance standards
- 05Proficiency in SQL
- 06Experience using quantitative tools or programming languages (e.g., Python, R) to query large datasets, perform statistical analyses, and evaluate model performance
- 07Excellent verbal and written communication skills with the ability to explain complex technical and quantitative concepts to non-technical partners
- 08Ability to manage multiple competing priorities in a fast-paced environment
What we offer
- 01Role is based in Denver, CO, New York, NY, or Westlake, TX office(s)
- 02In-person attendance expected at least 3 days per week