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Credit Risk Strategist, Small Business Risk

83% Flex
Full Remote
Mid-level (2-5 years)
  • Remote from:United States
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Credit Risk Strategist, Small Business Risk

83% Flex
Remote: Full Remote
Experience: Mid-level (2-5 years)
Work from: United States...

Offer summary

Qualifications:

Bachelor's degree in relevant field, 3-5 years experience in credit analysis.

Key responsabilities:

  • Collaborate with cross-functional teams
  • Formulate credit risk recommendations and insights
Stripe logo
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Stripe

Information Technology & ServicesLarge

https://stripe.com/

1001 - 5000 Employees
HQ: San Francisco

Job description

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Your missions

Who we are
About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Capital and Small Business Risk team is responsible for managing the end-to-end risk strategy for Stripe's lending product and devising growth-friendly solutions that reduce the overall credit risk for businesses who process payments on Stripe. The team is based in the US and APAC and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply.

What you’ll do

As a key member of the Capital and Small Business Risk team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives.

Responsibilities
  • Collaborate with cross-functional teams, such as Product, Data Science, and Engineering, to tailor credit risk management techniques to shape new products and operate in different geographies and industries.
  • Leverage data to formulate credit risk recommendations, deliver insights, and support strategic business decisions.
  • Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses.
  • Help scale risk processes by working with partners to design and optimize outsourced workflows.
  • Embrace a global mindset when shaping risk strategies but be sensitive to local challenges and opportunities
Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements
  • 3-5 years of experience in credit analysis and underwriting
  • Bachelor's degree in finance, economics, statistics, or a related field
  • Experience in risk management, financial lending, or core credit risk management function
  • Strong analytical skills and a rigorous, data-driven approach to problem-solving
  • Experience working with both internal and external stakeholders and the ability to closely manage expectations and deliverables in a timely manner
  • Ability to thrive in an unstructured and fast-moving organization
  • Strong technical expertise, including SQL, excel, google sheets
  • Self-starter who can work independently
Preferred qualifications
  • Experience with quantitative tools such as Python, R, or Stata
  • Master's degree in finance, economics, statistics, or a related field.
  • Superior communication and relationship management skills
  • Experience with credit scoring models.
  • Experience working with machine learning teams
  • Ability to communicate results clearly with a focus on driving impact.
See more

Required profile

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Experience

Level of experience :
Mid-level (2-5 years)
Industry :
Spoken language(s)
Check out the description to know which languages are mandatory.

Soft Skills

  • Strong analytical and problem-solving skills
  • Effective communication and relationship management

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