Company Description

We are building the future of financing. Right now, if they want money, SaaS founders have to pitch VCs (who typically haven't even worked for a startup - unless employee 5,000 @ Uber counts...) or try (and fail) to get money from banks. And the fundamental question is: why?

From Figma to Slack to Shopify, SaaS businesses are reimagining & remaking every aspect of business - so why are their fundraising cash management solutions stuck in the last century?

At Vitt, we're revolutionizing how SaaS founders raise capital & manage their cash flow. We'll let them grow & thrive by offering them upfront, non-dilutive financing against their own cashflows. Our mission is simple: let the builders both own & grow their businesses.

What you can expect from us?

Background on us: Saket (CEO) was an early stage VC for 3 years (La Famiglia & Global Founders Capital) and previous to that an operator at Rocket Internet. Greg (CTO) has both a finance software and machine learning background, as an ex-Tech Lead at Commerzbank for their web apps and former co-founder of a DevOps ML startup. He’s scaled early technical teams before.

We both believe in empowering the people we work with. We want our people to thrive, taking as much leadership and responsibility as they can (the more, the merrier!). By sharing our knowledge, experience & network we want our team to shine.

No corporate BS, no micromanagement, no "bro culture".

We are driven by our mission but are building a healthy working culture (no one is at their best consistently burnt out and sleep-deprived….) that lets diverse talents blossom.

Job Description

The ideal candidate is both highly strategic and highly entrepreneurial, obsessed with driving customer success, motivated by building and shaping the future of SaaS financing. This is a unique opportunity to be part of a growing and dynamic team.

As Vitt's Senior Underwriter, you will:

• Define, build, lead the credit risk function,
• Establish credit risk management and controlling tools,
• Develop scoring methodology and credit risk models based on state-of-the-art data science as well as latest regulations.

Qualifications

• 3-5 years work experience as a data analyst SME (invoice financing credit risk management strongly preferred).
• You bring significant experience in credit risk analysis based on traditional data (financial statements, management accounts, and non-traditional information (bank account data).
• 3-5 years of professional experience in related technical areas such as model development, model validation, data science, quant finance.
• Best practice knowledge in credit risk: strong understanding of the full lifecycle from origination to debt collection – participated in envisioning and building credit policies and models from scratch.
• Deep and broad knowledge and experience in at least one of the following areas: machine learning, financial risk management, statistical modeling.
• Extensive experience with SQL, Python, or other scripting languages.
• Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem-solving.
• Excellent interpersonal and verbal/written communication skills.
• If you don’t meet 100% of these criteria but believe you could be a fit, please get in touch anyway!

Additional Information

Our offer:

• Location flexibility (Berlin or London, possible to become remote in the future)
• High impact on where we go
• Competitive salary
• £2,400 hardware budget
• Meaningful ESOP