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Data Scientist

Credit Key is the leading provider of flexible payments for B2B transactions. Credit Key empowers businesses to offer their customers greater access to capital with flexible payment terms.

Credit Key is seeking a Data Scientist Manager to join our rapidly expanding team.  The Data Scientist Manager’s primary responsibilities are in credit and fraud risk management along with analytics for Product and Marketing teams.  This is a ‘hands-on’ analytics role with the ability to drive significant results and key insights while leveraging our unique mix of credit, transaction, and payment data.  The ideal candidate will be able to independently dig deep into data to solve challenging and fast paced business problems while also helping to build a leading risk management infrastructure and strategy.  

What you'll do

  • Propose, implement, and analyze testing to further enhance key features of our credit risk framework including approvals, line assignment, pricing, and term lengths
  • Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management
  • Partner directly with industry leading small business lending data providers to optimize use of existing data and explore and assess new data providers to improve our credit and fraud strategy performance 
  • Create, execute, and analyze A/B testing experiments to improve credit performance
  •  Develop, validate, and implement proprietary credit models using our unique data to drive our acquisition and account management risk strategies
  • Develop and execute credit and fraud risk tracking and credit bureau reporting.   
  • Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations.

What we look for

    • Bachelor’s Degree in STEM field. Master’s Degree preferred
    • Minimum of 2 years of experience in a Data Scientist role at a lending organization (Fintech, bank, credit union, etc.)
    • Prior experience with large complex time series datasets at a financial institution
    • Prior first line of defense credit or fraud risk management experience at a Fintech, BNPL, and/or Small Business Lending experience a plus 
    • Experience utilizing consumer and commercial credit bureau score and tradeline data to enhance credit strategies 
    • Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent
    • Experience in financial modeling to determine business cost benefit results from A/B testing.
    • Strong communication skills to influence key stakeholders including executive management, partner bank, and debt facility teams
    • A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity

Why you want to work with us:

  • Competitive Compensation Package with equity and paid time off
  • Great Healthcare Benefits
  • 401k Match
  • 100% Remote. Flexible Work Schedule & Location
  • Supportive, low ego, highly collaborative team environment
  • Work From Home Stipend
What You Should Know About Data Scientist, Credit Key

Join Credit Key as a Data Scientist Manager and become a vital part of our mission to empower businesses with flexible payment solutions for B2B transactions. In this role, you'll dive into the exciting world of credit and fraud risk management, using your analytical skills to unlock key insights that drive our product and marketing strategies. As a hands-on professional, you'll analyze credit performance data and work closely with industry-leading data providers to refine and optimize our risk management infrastructure. Your contributions will directly impact our ability to make smarter decisions by implementing innovative strategies to detect and mitigate fraud risk at every stage of the credit lifecycle. You'll collaborate with cross-functional teams, including Finance, Product, Marketing, and Operations, to ensure we’re all aligned on our goals. If you hold a Bachelor's in a STEM field, have at least 2 years of experience as a Data Scientist in a lending organization, and possess a knack for data analysis using tools like Python, R, or SQL, then we want to hear from you! At Credit Key, we foster a supportive, collaborative work environment where you’ll have the freedom to contribute meaningfully and the flexibility to work from anywhere. With competitive compensation, great healthcare benefits, and a remote-friendly culture, this is your chance to make a mark in the Fintech industry while enjoying a rewarding work-life balance.

Frequently Asked Questions (FAQs) for Data Scientist Role at Credit Key
What are the primary responsibilities of a Data Scientist Manager at Credit Key?

The Data Scientist Manager at Credit Key is mainly focused on credit and fraud risk management and analytics for Product and Marketing teams. Responsibilities include developing and analyzing credit risk frameworks, creating fraud risk mitigation strategies, executing A/B testing experiments, and collaborating with various stakeholders to enhance credit performance.

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What qualifications do I need to become a Data Scientist Manager at Credit Key?

To qualify for the Data Scientist Manager position at Credit Key, candidates should have a Bachelor’s Degree in a STEM field, with a Master's preferred. A minimum of 2 years of experience in a Data Scientist role within a lending organization, along with strong analytical skills and proficiency in tools such as Python, R, or SQL, is also essential.

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What tools and technologies should a Data Scientist Manager at Credit Key be familiar with?

A Data Scientist Manager at Credit Key should be well-versed in data analysis tools and programming languages such as Python, R, SQL, Tableau, and SAS. Experience in handling complex time series datasets and financial modeling is also crucial for success in this role.

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How does the Data Scientist Manager at Credit Key contribute to fraud risk management?

The Data Scientist Manager plays a key role in identifying and mitigating fraud risk by proposing and implementing innovative strategies throughout the credit lifecycle. This includes analyzing data from new applications, real-time transaction authorizations, and account management processes to develop effective fraud detection methodologies.

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What is the work culture like for a Data Scientist Manager at Credit Key?

Credit Key offers a supportive, low-ego, and highly collaborative team environment for its Data Scientist Manager. The organization promotes flexible working conditions including remote work and a culture that values open communication and teamwork across different departments.

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Common Interview Questions for Data Scientist
Can you explain your experience with credit risk assessment as a Data Scientist?

When answering this question, highlight specific projects or strategies you've developed in previous roles to assess credit risk. Provide examples of data analysis techniques you used and the outcomes of implementing those strategies.

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What programming languages and tools do you prefer for data analysis?

Discuss your proficiency with languages like Python or R, and tools like SQL or Tableau. Mention specific projects where you utilized these technologies effectively to draw insights from data.

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How do you approach A/B testing in your data projects?

Explain your understanding of A/B testing concepts and share an example where you conducted A/B tests to improve credit performance. Discuss how you analyzed the results and adjusted your strategies based on what you learned.

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What challenges have you faced with large datasets, and how did you overcome them?

Provide examples of challenges such as data quality issues or processing time delays, and describe the specific methods you implemented to resolve these challenges, showcasing your analytical and problem-solving skills.

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Describe your experience with fraud detection in lending.

Detail your previous experiences in assessing and mitigating fraud risk. Discuss tools or methodologies you've used and the effectiveness of your strategies in reducing fraud incidents.

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How do you communicate complex data findings to non-technical stakeholders?

Highlight strategies you use to simplify complex data concepts for varied audiences. Use instances where you've successfully translated your findings into actionable insights for stakeholders.

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What motivates you to work in the Fintech industry?

Share your personal interest in the Fintech space, focusing on aspects like innovation in financial services, the challenges faced, and how you wish to contribute positively to the industry.

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How do you stay updated with trends in data science and Fintech?

Mention specific methods such as following industry blogs, participating in webinars, or engaging in professional networking groups to stay current with the latest developments and best practices in data science and Fintech.

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Can you walk us through a project where you improved credit risk strategies?

Use the STAR (Situation, Task, Action, Result) method to outline a project that led to an improvement in credit risk strategies. Focus on the methods employed and the tangible results achieved.

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How do you prioritize competing tasks and projects in a fast-paced environment?

Discuss your approach to time management and prioritization, including any tools or techniques you use to ensure you meet deadlines while balancing multiple projects.

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Launched in 2017, Credit Key is a B2B financial services technology company that allows merchants to offer an instant buy now pay later function that is seamlessly integrated at checkout. Credit Key's proprietary process facilitates lightning-fast...

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Full-time, remote
DATE POSTED
March 12, 2025

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