Staff Data Scientist - Risk

  • Full-time

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 ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

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

Job Description

Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. This individual will be a key strategic partner to the Head of First Line Risk and Monitoring as well as Cash App’s Chief Operating Officer and help develop and implement a data-driven and comprehensive risk management program.

They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App’s ecosystem, as well as new and emerging risks. This individual will use data to help facilitate decision-making across various company-wide initiatives and risk programs.

You will:

  • Perform in-depth analysis of large datasets using SQL and scripting languages to deliver actionable insights and identify opportunities for cross-functional partners and senior management across Cash Product, Business, Compliance, and Legal teams
  • Approach problems from first principles and apply a systems-thinking approach to solve a diverse array of problems
  • Develop, forecast, and report on key metrics that drive strategic decisions and facilitate decision-making for critical risk and business initiatives
  • Become a subject matter expert in first line risk management, anticipating emerging business risks and customer behaviors and understanding their impact on measurement and insights
  • Establish the framework for a consolidated risk management dashboard, including data and dashboard modeling, ensuring a comprehensive view of risk across the organization
  • Build and share data visualizations and create self-serve dashboards for partners
  • Write efficient code for processing, cleansing, and integrating data from various sources, resulting in curated ETL datasets that the broader team can easily utilize

Qualifications

You have:

  • A bachelor degree in statistics, data science, or similar STEM field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Strong knowledge and hands-on experience in several of the following areas: statistics, optimization, product analytics, causal inference, and/or experimentation
  • Responsible for the entire analytics process, including problem definition, developing metrics, data extraction and manipulation, visualization, and the creation and implementation of analytical/statistical models
  • A knack for turning ambiguous problems into clear deliverables and actionable insights
  • World-class communication skills and the ability to present complex data in a simple and clear manner

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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 $207,900 - USD $311,900
Zone B: USD $207,900 - USD $311,900
Zone C: USD $207,900 - USD $311,900
Zone D: USD $207,900 - USD $311,900

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, Vision and Dental insurance)
  • Health Savings Account and Flexible Spending Account
  • 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 (including 12 paid holidays)
  • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) 
  • Learning and Development resources
  • Paid Life insurance, AD&D, and disability benefits 

These benefits are further detailed in Block's policies. 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.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Because the material duties of this role involve direct or indirect access to sensitive personal or financial data, a criminal background check is required following a contingent offer of employment.

 

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.

Privacy Policy