6 часов назад
Data Solutions & Validation Sr. Specialist (Fintech)
136 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Solutions & Validation Sr. Specialist (AML/Financial Crimes): Validating, testing, tuning, and optimizing transaction monitoring and filtering models and the data pipelines that support them with an accent on model risk, data integrity, statistical analysis, and regulatory compliance. Focus on evaluating rule-based and machine learning systems, reducing false positives, documenting remediation, and using SQL, Python, and AI tools to improve financial crime detection.
Location: Denver, CO; New York, NY; or Westlake, TX, with in-person attendance expected at least 3 days per week
Base pay: $136,000–$160,000 USD for Zone 1; $120,000–$141,000 USD for Zone 2; $106,000–$125,000 USD for Zone 3, plus bonus opportunities, equity, and benefits.
Company
Robinhood is a fintech company building financial products and a Financial Crimes Program focused on AML and sanctions compliance.
What you will do
- Perform independent quantitative and qualitative validation of rule-based and machine learning financial crimes models, filtering systems, and detection logic.
- Review model implementations, data models, infrastructure, and pipelines in collaboration with software engineers, data engineers, and data scientists.
- Tune surveillance models using statistical analysis to improve risk detection and reduce false-positive alert volumes.
- Validate the completeness, accuracy, and reliability of data inputs supporting transaction monitoring and compliance models.
- Manage model changes and issues, maintain traceable documentation, and prepare validation reports and executive summaries for stakeholders, auditors, and regulators.
- Use AI tools, large language models, and automation to improve productivity and workflow quality.
Requirements
- Bachelor’s degree or equivalent in computer science, data analytics, statistics, finance, or another quantitative or technical field.
- 5+ years of experience in AML, financial crimes, or risk management within financial services or fintech.
- 3+ years of experience verifying, validating, testing, or tuning AML rule-based systems or machine learning models.
- Working knowledge of Model Risk Management principles and governance standards.
- Proficiency in SQL and experience with Python, R, or comparable quantitative tools for large datasets, statistical analysis, and model performance evaluation.
- Strong written and verbal communication skills, including the ability to explain technical and quantitative concepts to non-technical stakeholders.
Culture & Benefits
- High-impact work focused on financial crime prevention, AML, and sanctions compliance.
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
- Health insurance, employer-paid life and disability insurance, fertility benefits, and mental health benefits.
- Paid time off, company holidays, sick time, and parental leave.
- Flexible lifestyle benefits spending account for wellness, learning, and other needs.
- Office-based amenities including catered meals, events, and comfortable workspaces.
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