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- Tasks: Lead credit risk functions and develop innovative scoring methodologies.
- Company: Join Vitt, a game-changer in SaaS financing, empowering founders to thrive.
- Benefits: Enjoy location flexibility with options for remote work and a supportive culture.
- Why this job: Be part of a dynamic team shaping the future of financing for SaaS businesses.
- Qualifications: 3-5 years in data analysis and credit risk management; strong technical skills required.
- Other info: Open to candidates who may not meet all criteria but are eager to learn.
The predicted salary is between 43200 - 72000 £ per year.
We are building the future of financing. Right now, if SaaS founders want money, they have to pitch VCs or try to get money from banks. 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.
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 include:
- 3-5 years work experience as a data analyst SME (invoice financing credit risk management strongly preferred)
- 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!
Our offer: Location flexibility (Berlin or London, possible to become remote in the future)
Senior Underwriter (London, Berlin, Remote) employer: Vitt Technologies Limited
Contact Detail:
Vitt Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Underwriter (London, Berlin, Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in SaaS financing and credit risk management. Understanding the unique challenges faced by SaaS founders will help you demonstrate your strategic thinking and entrepreneurial mindset during discussions.
✨Tip Number 2
Network with professionals in the fintech and SaaS sectors. Attend industry events or webinars to connect with potential colleagues and gain insights into the current landscape, which can be invaluable when discussing your fit for the role.
✨Tip Number 3
Brush up on your technical skills, especially in SQL and Python. Being able to showcase your proficiency in these areas during interviews will set you apart, as they are crucial for developing credit risk models and analysis.
✨Tip Number 4
Prepare to discuss your experience with both traditional and non-traditional data sources. Highlight specific examples of how you've used diverse data sets to inform credit risk decisions, as this aligns closely with the responsibilities of the Senior Underwriter role.
We think you need these skills to ace Senior Underwriter (London, Berlin, Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk analysis and data science. Use specific examples that demonstrate your skills in model development and validation, as well as your understanding of the full lifecycle of credit risk.
Craft a Compelling Cover Letter: In your cover letter, express your passion for SaaS financing and how your entrepreneurial mindset aligns with Vitt's mission. Mention any unique experiences that showcase your strategic thinking and customer success focus.
Highlight Technical Skills: Clearly outline your proficiency in SQL, Python, and any other relevant scripting languages. Provide examples of projects where you applied these skills, particularly in relation to credit risk management or data analysis.
Showcase Interpersonal Skills: Since excellent communication is key for this role, include instances where you've successfully collaborated with teams or communicated complex ideas clearly. This will demonstrate your ability to thrive in a dynamic team environment.
How to prepare for a job interview at Vitt Technologies Limited
✨Understand the Company’s Mission
Before your interview, make sure you grasp Vitt's mission to revolutionise SaaS financing. Familiarise yourself with their approach to non-dilutive financing and how it benefits SaaS founders. This will show your genuine interest in the role and alignment with their goals.
✨Showcase Your Technical Skills
As a Senior Underwriter, you'll need to demonstrate your expertise in credit risk analysis and data science. Be prepared to discuss your experience with SQL, Python, and any relevant models you've developed. Highlight specific projects where you've applied these skills effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and critical thinking. Prepare examples of how you've handled credit risk management challenges in the past, particularly using both traditional and non-traditional data sources. This will illustrate your strategic mindset.
✨Emphasise Interpersonal Skills
Vitt values a healthy working culture, so be ready to discuss how you collaborate with teams and communicate complex ideas clearly. Share examples of how you've successfully worked with diverse teams or stakeholders to drive customer success and achieve common goals.
