This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable.

Responsibilities:

• Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling;
• Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators;
• Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring;
• Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools;
• Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps;
• Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages;
• Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.

Basic Qualifications:

• 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance;
• Master’s degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field;
• Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred);
• Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles;
• Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators;
• Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.

Preferred Skills and Experience:

• Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners;
• Background in building internal case management systems, SAR automation tools, or RPA solutions;
• Familiarity with AML detection platforms;
• Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency).

Compensation and Benefits:

$148,000- $220,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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We are seeking an Associate Quantitative Modeler to join the Securitized Products Modeling team within Aladdin Financial Engineering (AFE) - Single Security. The team is responsible for the development, enhancement, and governance of models and analytics across a broad range of securitized products, including Agency MBS, NonAgency RMBS, CRT, MSR, CMBS/CRE, ABS/ABF, and CLOs, delivered on the Aladdin platform to internal portfolio teams and external clients.

Key Responsibilities

• Develop, enhance, and maintain securitized products models using econometric and machine-learning/AI techniques.
• Collaborate with Data, Technology, Portfolio Management, Client, and Risk teams to ensure analytics meet business and client needs.
• Clearly communicate modeling frameworks, assumptions, and results to both technical and non-technical audiences; support client discussions by explaining complex analytics and modeling concepts in a clear, intuitive, and practical manner.
• Perform rigorous validation of model inputs and outputs across development, implementation, and production environments.
• Play a key role in model risk management, controls, and regulatory compliance; own model performance monitoring frameworks and engage with governance forums.
• Identify opportunities to automate, streamline, and scale analytical and reporting processes across the modeling platform, enhancing monitoring and reporting workflows through the creative design of tools and applications, including modern AI-enabled technologies.

Qualifications

• 3-4 years of hands-on experience in quantitative model development and implementation.
• Strong quantitative background with a degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Proficient programming skills in Python, R (or equivalent); C++ familiarity is a plus.
• Strong communication skills and ability to explain complex analytics clearly.
• Experience with large datasets, production-level analytics, or financial modeling platforms is a plus.
• Knowledge of securitized products is a plus but not required.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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