Senior Machine Learning Modeler, Financial Crimes

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 Financial Crimes Technology team at Cash App detects and reports criminal and suspicious activity on Cash App. We work globally with partners in Engineering, Counsel and Product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring hundreds of billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, fraud, and illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower agent productivity and automate the high volume of monitoring.

 You will:

• Facilitate CashApp’s global expansion by developing ML models to assess onboarding and ongoing risk and satisfying our Know Your Customer (KYC) requirements
• Build classification models to detect unauthorized use of the app across the peer-to-peer, banking, card, equities and bitcoin products
• Work with Machine Learning Engineers to deploy models to the production environment and monitor ongoing performance
• Leverage large connection graphs of payment transactions, device links and contact books using advanced Graph Embeddings & Networks to detect suspicious activity and drive down false positives
• Use Python DS stack, Pytorch, Snowflake, Airflow based tools, and cloud services (both GCP & AWS) to get the job done

Qualifications

You Have: 

• 6+ years of Machine Learning and Software Engineering experience
• A graduate degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
• End to end experience of building and deploying ML to production systems that are performant at scale
• Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders (eg. Engineering, Product, and Country leads) that have significant business impact
• Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value
• Experience with advanced ML techniques like large language models, embeddings, sequence modeling, and graph convolutional networks is a plus

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Benefits include the following:

• Healthcare coverage
• Retirement Plans including company match 
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
• Paid parental and caregiving leave
• Paid time off
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits 
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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