Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Solutions & Validation Sr. Specialist role.

Rezi rewrites your resume against Robinhood's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Solutions & Validation Sr. Specialist posting at Robinhood — free, in seconds.

About the Role

Robinhood is building an elite team to solve major financial problems using frontier technologies. We seek bold thinkers and sharp problem-solvers who are driven to make an impact. The Financial Crimes Team protects customers and ensures compliance with AML and Sanctions regulations, focusing on innovative thinking, advanced analytics, and cutting-edge technology. As a Senior Specialist, Model Validation & Analytics, you will validate, test, tune, and optimize transaction monitoring and filtering programs, partnering with various teams to ensure accurate implementation and evaluation of financial crimes models and systems.

Responsibilities

Perform 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.
Act as a technical bridge by leveraging a solid foundation in data engineering, data modeling, and infrastructure, collaborating with engineers and data scientists to evaluate model implementations, test data pipelines, and support issue remediation.
Execute effective tuning methodologies and statistical analyses to continuously calibrate and enhance surveillance models, focusing on maximizing risk detection and reducing false positives.
Conduct comprehensive data validation and logic testing initiatives to ensure data quality, completeness, accuracy, and end-to-end reliability of critical data pipelines and inputs.
Serve as a subject matter expert in AML and Model Risk, providing domain insights and supporting partners in understanding model logic, performance, and risk trade-offs.
Build strong working partnerships across engineering, product, and compliance teams to ensure technical solutions are sound, effective, and aligned with risk tolerance.
Uphold change and issue management policies for covered systems, models, and solutions, ensuring traceability and defensible documentation.
Leverage AI tools, Large Language Models (LLMs), and automation techniques to enhance productivity, deliverable quality, and team workflows.
Author thorough, concise, and defensible validation reports, change and issues management documentation, and executive summaries.

Requirements

Bachelor's Degree or equivalent in a quantitative, technical, or financial field (e.g., Computer Science, Data Analytics, Statistics, or Finance).
5+ years of experience across AML, Financial Crimes, or risk management within the financial services or fintech industry, with a focus on model validation, quantitative analysis, or surveillance system management.
3+ years of direct experience in the verification, validation, testing, or tuning of AML rule-based systems and/or machine learning models.
Working knowledge of core Model Risk Management (MRM) principles and governance standards.
Proficiency in SQL and experience using quantitative tools or programming languages (e.g., Python, R) to query large datasets, perform statistical analyses, and evaluate model performance.
Excellent verbal and written communication skills with the ability to explain complex technical and quantitative concepts to non-technical partners.
Ability to manage multiple competing priorities in a fast-paced environment.

Skills

Model Validation
Quantitative Analysis
Surveillance System Management
AML
Financial Crimes
Risk Management
Data Engineering
Data Modeling
SQL
Python
R
Statistical Analysis
AI Tools
Large Language Models (LLMs)
Automation Techniques

Location

Denver, CO
New York, NY
Westlake, TX

Work Type

Hybrid

Experience Level

5+ years of experience
3+ years of direct experience

Education Level

Bachelor's Degree or equivalent in a quantitative, technical, or financial field

Salary/Compensations

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $136,000—$160,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $120,000—$141,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $106,000—$125,000 USD

Benefits

Challenging, high-impact work to grow your career.
Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
100% paid health insurance for employees with 90% coverage for dependents.
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.

About the Company

Robinhood's mission is to democratize finance for all.
We are building an elite team, applying frontier technologies to the world’s biggest financial problems.
Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.
We’re a high-performing, fast-moving team with ethics at the center of everything we do.

Equal Opportunity

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.
Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best.