ABOUT OPORTUN
Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 1.9 million members' financial goals within reach. With intelligent borrowing, savings, budgeting, and spending capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $15.5 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped our members save an average of more than $1,800 annually. For more information, visit Oportun.com.
WORKING AT OPORTUN
Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.
We are building a world-class fun, entrepreneurial and analytical minded team who want to innovate, truly help people, and build a great company. Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk and managing fraud for underserved consumers that often lack a traditional credit bureau score. This is an exciting opportunity in a fast-paced organization where your contributions can have a meaningful impact on increasing access to Oportun’s affordable, credit building loan product for underserved consumers.
We are enhancing our fraud management capabilities that will allow Oportun to continue to scale. In this role you will be working with large and diverse data sets (i.e., data from dozens of sources including transactional, online, device, financial, and alternative bureaus) and utilize machine learning to develop rules and strategies. You will lead the design, development and execution of fraud strategies that will deliver a great customer experience while keeping fraud losses manageable. You will work directly with our team of Engineers, Fraud Operations, & Legal to implement the fraud strategies your team designs into our proprietary originations and fraud management platform.
Responsibilities
- Drive the development of Application Fraud Prevention strategy and roadmap to leverage data and technology to manage fraud, ensuring customer experience and drive increased loan volumes
- Lead the development of strategies, rules and the execution used in predicting and preventing fraud
- Optimize vendor strategy – evaluating new vendors as well as feature engineering existing vendors – for better fraud prevention
- Be able to put multiple hats to address key opportunities for the business – ranging from analyzing performance & making recommendations, analyzing & mitigating fraud ring attacks, & help optimize operational performance
- Hands-on ability to extract & analyze data using Python & SQL
- Develop key metrics to track the performance of fraud strategies and is accountable for meeting the set goals.
- Identify new data sources and technology that can be used in improving fraud management by working with technology and data vendors
- Collaborate with Engineering and product analytics team to improve fraud engine capabilities, and improve customer experience
- Develop reporting and analysis used to monitor fraud trends and drive improvements in customer experience
- Partner with the fraud manual review team in developing fraud review processes, managing staffing levels and meeting desired service levels
Qualifications
- Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
- A relentless problem solver, out of the box thinker, and proven track record to drive business results in a timely manner
- Results focused and able to identify key focus areas to work on
- Strong Python skills required to extract & analyze data
- Excellent written and oral communication skills
- Overall of 8+ yrs of experience with 5+ years of fraud analytics experience in online financial services or FinTechs, preferably in lending
- 2+ years of experience in developing machine learning based solutions/rules for fraud detection
- Ability to drive initiatives with minimal supervision, provide solutions with clarity and be data curious
We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.
California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/.
We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).
