Company Description
http://ai.cash.app/ 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
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. Check out our Machine Learning / AI blog !
This role is part of Cash App's Risk ML team and will be embedded within one of the below workstreams:
Using machine learning methods and systems, this team reduces the prevalence of inauthentic identities in Cash's ecosystem, provides a first line of defense against bad actors attempting to circumvent our IDV controls while simultaneously building our confidence in existing and new customers' identities. Our goal is to ensure that every individual has access to the financial services they need, regardless of their background or financial history. We believe that ML has the potential to revolutionize the way in which identity verification is conducted, and we are dedicated to constantly improving and refining our solutions to ensure that it remains at the forefront of this rapidly evolving field. By using machine learning for identity verification, we aim to create a safer and more inclusive financial system for all.
This team owns analytical and ML solutions for the full lifecycle of the Cash Card product with a focus on mitigating risk/fraud. Team works cross-functionally with Product, Platform, Legal, and others to balance financial loss to the business, regulatory risk, and the holistic customer experience.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
- 6+ years of experience in machine learning, data analysis, or a related field
- Strong knowledge of machine learning algorithms and data analysis techniques
- Excellent problem-solving skills and attention to detail
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
- MySQL, Snowflake, GCP/AWS and Tableau
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
- 6+ years of experience in machine learning, data analysis, or a related field
- Strong knowledge of machine learning algorithms and data analysis techniques
- Excellent problem-solving skills and attention to detail
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
- MySQL, Snowflake, GCP/AWS and Tableau
What We Do
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, 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.
Why Work With Us
Across our ecosystem, we’re working to help our diverse audiences — sellers, individuals, artists, fans, developers, and all the people in between — overcome barriers to access the economy.
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Block Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most employees can join Block in an office location, from home, or with a mix of both. We create work spaces and experiences that help individuals and teams to be their most creative and collaborative.