Job description

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC, and the only full-spectrum fintech marketplace bank. Members can gain access to a broad range of financial products and services through a technology-driven platform, designed to help them pay less when borrowing and earn more when saving. Since 2007, more than 3 million members have joined the Club to help reach their financial goals. We’re leading the governance of a new industry by developing ethical, responsible ways to bring greater value and better opportunities to our members. Everyone deserves a better financial future and our team is committed to making that a reality. Come join us!

About the Role

Lending Club's Decision Science/Alternative Data team is looking for a data scientist to join their team.

The Data Science team plays an instrumental part in researching, analyzing, and quantifying the value of external data for LendingClub. LendingClub utilizes a combination of data throughout our processes and extracting the full value potential through the creation of new attributes and analytical solutions is where you come in! In this role, you should have critical thinking, highly analytical, and problem-solving skills.

What You'll Do

  • Lead research and development efforts to identify and assess new and alternative data sources to support the use of innovative data within our current decisioning framework.
  • Research and build innovative new attribute solutions to enable scalable risk assessment and decisions
  • Extract insights from massive and highly complex data sets to identify credit and fraud risk patterns through advanced data mining
  • Design POC type engagements with data providers to help understand risk return tradeoffs using hypothesis testing frameworks
  • Expand existing set of data used in credit decisioning process by evaluating information; value of non-traditional data sources and by re-engineering use of existing data elements;
  • Work closely with credit and technology teams to ensure new data tools and solutions strategies are implemented accurately and as designed.

About You

  • Bachelor/Master’s degree with quantitative background (e.g. Statistics, Math, Engineering, Economics)
  • 5+ years of experiences in data science, data analytics and/or risk scoring/decision engine
  • Strong technical skills such as SQL/SAS, R/Python
  • Experience with BI/data visualization tools (like Tableau or Excel to create dashboards)
  • Proven experience in employing analytics solution on real world problems
  • Great communication and people skills; strong attention to details
  • A collaborator with dedication and willingness to learn and adjust in a fast-paced working environment


LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [email protected].

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