Quantitative Modeler

Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We've been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.

Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees' creativity and productivity wherever they are.

Check out our locations, benefits and more at cash.app/careers.

Job Description

The Cash App Quantitative Finance Team is an intellectually diverse team of machine learning modelers, data scientists, former strategy consultants and data engineers focused on applying leading AI, graph analytics and machine learning algorithms to solve business problems for executives within Cash App and the broader Block organization.  

The team has answered some of the most complex questions around how our network is formed and evolves, why our customers churn or re-engage with the platform and why they choose to move money into or out of the platform.  The outputs of our team are used to drive high level company strategy across product development, marketing and financial strategy.  We partner across the broader Block ecosystem and work directly with Foundational Engineering, Data Engineering, marketing, customer insights and finance.

As an Applied AI and Data Science Lead within our team, you will work with colleagues across Cash and Block to deliver quantitative models across the business.  In addition to developing these models, you will have the opportunity to lead the exploration of Generative AI applications within our business (e.g. classification, natural language querying) and work on complex graph / network problems and have exposure to the highest levels of leadership across Block.  

Because this is such a unique role we are looking for someone who can own the end-to-end  model development process (requirements, data, development, implementation) but also understands business context and has the ability to communicate to senior leaders.

Qualifications

You Have:

• An advanced degree (M.S., PhD.), preferably in Computer Science,Engineering, Statistics, Physics, Mathematics or a related technical field.
• PhD plus 2 years (or Master plus 4 years) industry working experience in developing machine learning / statistical models to solve real world problems (e.g. classification, NLP, regression, etc.)
• Outstanding written and oral communication skills to present analytical findings and exercise influence amongst Cash and Block Executives
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and big data technologies (e.g., Databricks) is a plus
• A strong track record of performing machine learning model development using Python (numpy, pandas, tensorflow, pytorch, scikit-learn, etc.) and SQL/NoSQL interaction patterns.
• Familiarity with Linux/OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation.

Nice to have:

• Familiarity or interest in graph theory problems / network science
• Familiarity with consumer behaviors in the context of financial services
• Open Source Contributions

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. 

Full-time employee benefits include the following:

• Healthcare coverage (Medical,