Lead Data Scientist

At LendingPoint, we believe that everyone deserves to feel the power of possibilities. As an online fintech company, we’ve created advanced consumer, small business, and merchant point-of-sale lending solutions to unlock access to affordable loans and empower those working to build their financial potential. By creating technology that sees your potential, we’re driving a better lending and borrowing experience by finding more reasons to say “yes.”

More than just a job, LendingPoint is an exciting career choice where you’ll bring your expertise and experience to a talented team focused on fostering positive new customer experiences that inspire loyalty.

Are we speaking about you? Then keep reading.

What’s In It For You?

• Competitive Base Salary
• Excellent Benefits Package That Includes: Medical/Dental/Vision, 401(k) match, Paid Holidays, and more!
• Team Oriented Fast-Paced Fun Environment
• Dedicated and experienced Management Team
• On-going training and investment in our employees

What You’ll Do Day to Day:

We are looking for a Lead Data Scientist who shares our vision of building sophisticated risk models to advance financial inclusion and access to responsible credit. In this role you will develop best-in-class credit risk, fraud, income verification, and marketing response models. The desired candidate will have a strong data science background, statistical expertise, machine learning knowledge, and a passion for solving problems in innovative ways to drive business results.

ESSENTIAL JOB FUNCTIONS:

• Build industry-leading credit, fraud, and pricing models to drive real-time lending decisions for hundreds of thousands of borrowers every month.
• Leverage advanced machine learning techniques and complex data sources such as credit bureau information, and alternative data sources, at large scale to build sophisticated credit and fraud models.
• Collaborate with product and engineering teams to deploy models into production environment.
• Evaluate new statistical and modeling approaches and alternate data sources to drive better credit decisions.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Optimize complex SQL programs for speed and efficiency.

MINIMUM QUALIFICATIONS:

• Bachelor’s in a quantitative field (e.g., Mathematics, Data Science, Statistics, Economics, Finance, etc.). Master’s / PhD degree preferred.

• 4+ years’ experience in fintech or financial services applying advanced statistical and machine learning predictive techniques.
• Expert knowledge in statistical programming languages such as Python, R, and database languages such as SQL
• Knowledge of advanced statistical modeling, testing, data mining, ETL, and data science techniques.
• Experience using GCP and/or Hadoop systems for distributed analytics and data processing.

• Strong communication and interpersonal skills.
• Ability to work in fast-paced environment.

Originally posted on Himalayas