Square Logo

Square

Staff Data Scientist, Square Banking

Posted 9 Days Ago
Remote
Hybrid
8 Locations
Senior level
Remote
Hybrid
8 Locations
Senior level
As a Staff Data Scientist at Square Banking, you'll analyze and develop strategies for loan products, collaborating with cross-functional teams to enhance product offerings and optimize user experiences, impacting the way businesses obtain funding.
The summary above was generated by AI

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
The Role
We are looking for experienced Data scientists to join Square's growing Banking organization. Square Loans has revolutionized the way businesses obtain the funding needed to achieve their goals. Unlike traditional business financing products, Square Loans are extended to pre-qualified sellers. If approved after a short application, sellers receive their funds as soon as the next business day, and repayment happens as a fixed percentage of daily card sales. As Square Loans expands its product features to help sellers meet their varying financing needs, you will leverage data solutions to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive user experience with Square Banking products.
You Will

  • Establish subject-matter expertise in Loans architecture from underwriting policy to loan loss recovery strategy and lead decision making and drive alignments across multiple job functions.
  • Influence product roadmap and guide Square Loans team to navigate through product opportunities and problem ambiguities.
  • Collaborate with Product, Engineers, Credit Policy, and Operations teams to launch experimental loan products and find opportunities to improve loan origination, loss recovery and compliance risk mitigation.
  • Define goal metrics for measuring lending products success and set benchmarks for product optimization.
  • Expand your influence in Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability.


You Have

  • 8+ years of data science, credit risk analytics, underwriting or related fields.
  • Wide-ranging experience working on ambiguous problems of high business impact and resolving complex issues in innovative and efficient ways.
  • Expertise in product growth, understanding and tracking user behavior using analytical lenses like engagement, conversion, cohorts, segmentation and funnel analysis.
  • Efficiently prioritizes concurrent projects and can deliver quickly during critical moments especially for product launch, without compromising quality.
  • Ability to build strong relationships with cross-functional stakeholders, clearly communicating findings and influencing product designs.
  • Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python).


Even better:

  • Experience in business lending, business credit card, credit risk, underwriting is a huge plus.


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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.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 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.
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.
Zone A:
$171,800 - $257,600 USD
Zone B:
$163,200 - $244,800 USD
Zone C:
$154,600 - $232,000 USD
Zone D:
$146,000 - $219,000 USD
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Check out benefits at Block.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, and TIDAL, 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.

Top Skills

Python
SQL

Square Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

Similar Jobs at Square

4 Days Ago
8 Locations
Remote
Hybrid
12,000 Employees
Mid level
12,000 Employees
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.
2 Days Ago
8 Locations
Remote
Hybrid
12,000 Employees
Mid level
12,000 Employees
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Senior Data Analyst will enhance the Developers and App Marketplace Analytics team by overseeing dashboards, ensuring data quality, and enabling data-informed decision-making. Responsibilities include developing databases, writing SQL queries, uncovering insights on developer experiences, assessing the impact of product features, and collaborating with various teams to evaluate marketing efforts.
2 Days Ago
8 Locations
Remote
Hybrid
12,000 Employees
Senior level
12,000 Employees
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account