Senior Quantitative Risk Analyst, Model Risk Management

Company Description

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Job Description

The Model Risk Management Team is dedicated to ensuring regulatory compliance, supporting the reduction of potential errors or bias, and promoting appropriate use for models created and maintained by Block. The team achieves this by establishing and implementing model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development and risk management.  This is a foundational team within compliance, which means it will support and collaborate with all key functional areas of Block regardless of the product or market.

We are looking for a Senior Quantitative Risk Analyst with model validation experience to join our team and support our model risk management activities. Your responsibilities will include validating machine learning models as applied to regulatory compliance such as anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening. You will also provide analytical support and insights to improve our model development, and documentation standards.

You should have strong quantitative skills, attention to detail and knowledge of relevant regulations and industry best practices. You will be fully remote and report into our Foundational Model Risk Management Lead.

Responsibilities:

• Validate machine learning models using data analysis, testing procedures and quality assurance methods
• Evaluate and improve model validation activities, processes, and metrics
• Assess and advise on model governance frameworks, and development practices
• Identify model risks, issues, and gaps to management
• Provide analytical support and insights to improve model development, validation, and documentation standards
• Stay updated on latest trends, developments and best practices in machine learning and compliance risk management
• Maintain validation documentation following internal policies
• Develop monitoring dashboards for ongoing model performance monitoring (e.g. model drift)
• Coordinate with business partners, Data Science, Product, Engineering & Technology
• Develop partner relationships and have a understanding of the businesses

Qualifications

Required: 

• Bachelor's degree in the physics, economics, statistics, or a similar STEM field with 5+ years of related work experience; Graduate degree w/ 3+ years of relevant working experience; or 9+ years of relevant working experience
• Knowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)
• Experience with scripting and data analysis programming languages, such as Python (preferable) or R
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau)
• Quantitative skills with the ability to interpret complex data sets
• Excellent communication skills with the ability to present technical information clearly and concisely 

Preferred:

• Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection 
• Prior experience in compliance risk management 
• Knowledge of regulatory frameworks such as SR 11-7 

Additional Information

Why join us?

At Block, we value diversity of perspectives because they fuel creativity. We offer competitive compensation packages, benefits, and perks. We also provide opportunities for career growth. and professional development. As a Senior Quantitative Risk Analyst at Block, you will be part of a team that is committed to providing reliable and accurate decision-making support while minimizing risk, and delivering long-term value to the organization and its stakeholders.

You will have the opportunity to work on challenging and rewarding projects that involve cutting-edge technologies such as machine learning. You will also collaborate with cross-functional teams such as Data Science, Product, Engineering & Technology.

If you are passionate about using your quantitative skills, to make an impact on economic empowerment, join us at Block!

Block takes a market-based approach to pay, and