HomeData Science Jobs- USAAfterpay | Hiring | Staff Machine Learning Engineer (Modeling) - Underwriting and...

Afterpay | Hiring | Staff Machine Learning Engineer (Modeling) – Underwriting and Credit | San Francisco, CA | BigDataKB.com | 5 Oct 2022

Job Location: San Francisco, CA

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.


Remote Work

Also Explore All freshers Data Science Jobs in Bharat & United States below, Or simply scroll down to Continue with this job/post , just hit the + symbol to see the detail & Apply link for the job that suits u... Bharat...
United States...

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.


Job Description

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s 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 artificial intelligence 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.

This role is part of our Cash App’s ML team and will be deeply embedded within our Underwriting and Credit workstream. Our mission is to redefine credit and liquidity through simple, fair, and accessible credit solutions that build financial health and resilience for our customers. This team builds and integrates ML solutions for evaluating customer cash flow risk including risk of default on credit obligations, risk of fraud & abuse of loans and other situations where Cash app advances funds or provides liquidity to customers. We support multiple products across workstreams in Cash. Through your work you will empower the team to understand the financial performance of origination cohorts, optimize our automated decisioning pipeline using AI/ML, and help identify new opportunities for growth in our customer base. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering.


Technologies we use (and teach):

  • Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
  • MySQL, Snowflake, GCP/AWS and Tableau
  • Java


Qualifications


You have:

  • 6+ years experience with applied Machine Learning or Deep Learning
  • Experience in the credit industry, especially in underwriting and/or fraud detection
  • A graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical field
  • Worked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML models
  • A track record of providing mentorship and technical leadership
  • An appreciation for the connection between the software you build and the experience it delivers to customers


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, 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.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.


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.




Apply Here

Submit CV To All Data Science Job Consultants Across United States For Free

Explore Other Similar Data Science Jobs wpDataTable with provided ID not found!
RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

How To Find Best Data Science Course

How To Get Guaranteed Data Science Jobs