Data Science Manager, Oportun
$114.5-183.2k
Digital banking & loan platform
Job no longer available
Digital banking & loan platform
1001+ employees
Job no longer available
$114.5-183.2k
1001+ employees
Company mission
To help people across the United States create a brighter financial future.
Role
Who you are
- A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner
- Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered)
- Hands on experience leveraging machine learning techniques such as Gradient Boosting, and other algorithms to solve real world problems
- 5+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive
- 3+ years of experience in leveraging modern machine learning toolset and programming languages with Python, Pyspark
- Experience working with Databricks, AWS EMR, Sage-maker or other cloud-based platforms is a plus
- Excellent written and oral communication skills; Strong stakeholder management and project management skills; Comfortable in a high-growth, fast-paced, agile environment
What the job involves
- We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data
- Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score
- In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud
- You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun’s affordable, credit building loan product
- Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides
- Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules
- Build model deployment platform which can shorten the time of implementing new models
- Build end-to-end reusable pipelines from data acquisition to model output delivery
- Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management
- Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring
- Lead, coach and partner with the DS and non-DS team to deliver results
Our take
Oportun is an AI-powered digital banking platform that makes financial health effortless for anyone. Following the company’s acquisition of former competitor Digit, it has expanded its services to offer a wider range of bank features – providing personal loans, credit cards, saving accounts, and an investment app.
Many struggle with the paradox of “you have to have credit to build credit”, as legacy banking systems tend to give those beginning their credit journeys a bad deal. Capitalizing on the growth in popularity of mobile banking apps, Oportun provides affordable and accessible financial services to those already using mobile banking apps.
While Oportun faces a number of strong market competitors, it has served millions of customers and facilitated billions in credit and savings - demonstrating that it is a force to be reckoned with. It has also raised considerable funding that will support its further development.
Freddie
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2019
$27.5m
SERIES C
Jun 2016
$22.5m
SERIES B
Total funding: $66.3m
Company benefits
- Paid time off
- Bonus and incentive programs
- Comprehensive healthcare packages, including medical, dental, vision, and flexible spending accounts (FSA)
- Remote work options for many of our positions
- Virtual coffee chats, holiday parties, and events
Company HQ
San Carlos, CA
Leadership
Raul Vazquez
(CEO)Former EVP of Walmart. They are a Member of the Board of Directors at Intuit.
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