Senior Machine Learning Engineer Modeling Risk

It all started with an idea at Block in 2013. Initially built to take the pain out of peertopeer 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 50 million monthly active customers. We want to redefine the worlds 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. Weve 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.

The Role

Machine Learning is an integral part of how we at Cash App design products operate and pursue our mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use ML and AI methods to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly make incremental changes and deploy to production every day.

As part of the Risk ML team you will build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with stateoftheart algorithms to drive down false positives collaborate on new product features to drive fraud losses down use any and every dataset at your disposal to analyse emerging fraud patterns engineer new features for risk models and deploy robust models to take action on bad activity in real time.

This role can work remotely from anywhere in Australia or New Zealand or from our offices in Melbourne Sydney and Auckland.

You Will

• Be responsible for building machine learning models to detect and act against fraudulent activity as well as researching emerging fraud patterns and leading and participating in crossfunctional initiatives to tackle problems.
• Collaborate crossfunctionally with our engineering product and operations teams located across Australia and the United States (particularly Melbourne and San Francisco) to keep our customers and their money safe.
• Work closely with the ML Engineering teams who build the systems that allow our models to operate at scale and in real time.
• Contribute to the growth of our modelling capabilities through mentoring and supporting fellow modellers
• Exercise a high level of autonomy and responsibility own your solutions from design through to operation

You Have

• Bachelors degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning. Masters or PhD preferred
• 3 years of experience in machine learning artificial intelligence or a related field
• Strong knowledge of machine learning algorithms and data analysis techniques
• Excellent problemsolving skills and attention to detail
• Strong communication skills with the ability to explain complex concepts to nontechnical stakeholders

Technologies We Use and Teach

• Python (NumPy Pandas sklearn xgboost TensorFlow keras etc.
• MySQL Snowflake Tableau Mode
• GCP/AWS

Were 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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team and always assess candidates on an individualized basis.

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 were doing to build a workplace that is fair and square Check out our ID page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.