ML Engineering Manager (Modeling) - Risk, Global (Europe)
- Full-time
Company Description
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
Keeping our customers safe and secure is central to Cash's vision of economic empowerment. The Risk ML team builds models that identify and prevent fraud and we're looking for a Machine Learning Engineering Manager to join us.
You will report to the Senior Manager of our Risk ML team and take on a group of ML Modelers. This role will be deeply embedded within our Global Team. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers. You’ll be responsible for high visibility metrics and present initiatives to a broad set of stakeholders. You will also work with the members of your team to identify new and large opportunities to shape the Risk roadmap.
You Will
Recruit, lead, and mentor a high-performing team
Provide coaching to your team that ensures their success, providing hands-on technical guidance and direction in critical areas
Identify new opportunities, develop prototypes, gather support from partners, and communicate staffing needs
Communicate your team's work with senior leadership and the executive team
Stay up-to-date with the latest techniques in ML and foster a culture of learning
Help shape Cash App's ML and Global Product strategies
Qualifications
You Have
1+ year of people management experience
5+ years of experience in applying machine learning models to solve complex problems in a production setting
Deep knowledge of and experience with a range of machine learning algorithms and techniques
Software engineering fundamentals and the ability to create production code when needed (heads up, the interview process is going to include pairing sessions)
Familiarity with the Risk, Fraud, Product Health or Anti-Abuse spaces
Passion for Cash App's mission of economic empowerment
Tools we use and teach
Java
Python (and its machine learning and data analysis libraries/frameworks)
SQL (Snowflake), Airflow and Tableau
Additional Information
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, based solely on the core competencies required of the role at hand, and without regard to any 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, 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.