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.

POSITION OVERVIEW 

in this role you will be working with large and diverse data sets from credit bureaus, alternative data vendors and internal data base, utilizing machine learning to build models and strategies for wide range of marketing decisions. You will also work closely with engineering team to enhance machine learning infrastructure.

RESPONSIBILITIES

• Develop business critical ML models such as response/propensity and credit risk models for marketing programs leveraging credit bureaus and  alternate data sources
• Enable executions of marketing programs through designing model-based strategy
• Lead and coach a team of data scientists to deliver results.
• Lead initiatives to drive business value from start to finish including project planning, managing stakeholders’ expectations, both internal and external, and executing.  
• Partner with Compliance and Model Risk Management teams to execute the model governance activities such as model validations and monitoring, and ensure models are compliant.
• Improve/automate ML infrastructure through partnerships with engineering teams 

REQUIREMENTS

• A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner 
• Comfortable in a high-growth, fast-paced and agile environment 
• 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). 
• 7+ years hands-on data science experience with big data, machine learning platforms and algorithms. Examples includes, not limited to
  • AWS, Azure, Snowflake and/or Data-Brick
  • Gradient Boosting, Clustering, Logistic Regression and Neural Network to solve real world problems.
• 7+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipeline.
• 3+ years of experience in managing a team
• Proficient in SQL/Spark SQL/Python
• Excellent written and oral communication skills 
• Strong stakeholder management and project management skills 

 

"The US base salary range for this full-time position is $127,500 - $204,000.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.

Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits.”

 

 

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