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Financial Analyst

capchase · 30+ days ago
LATAM
Negotiable
Full-time
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Capchase, recognised as one of Fast Company’s Most Innovative Companies of 2023, empowers SaaS companies to grow faster through access to capital & revenue management tools. We have been acknowledged by Forbes North America’s best startups and also featured among Forbes Next Billion-Dollar Startups 2023. To carry out our mission, we've received $700M+ in equity and debt funding from some of the best fintech investors QED (Nubank, Klarna), 01 Advisors (Tipalti, Master Class), Bling Capital (Airtable, Gitlab, Lyft, Square), SciFI (Stripe, Brex), Caffeinated (OpenDoor, Airtable).

In a little over four years, we’ve provided billions in funding to thousands of companies, expanded operations to ten countries in the US and Europe, and grown our team from four co-founders in May 2020 to 130 Capchasers today.

Since our launch in 2020, we’ve achieved several milestones:
➡ 4K+ companies registered
🏃 5,000 plus months additional runway generated
🙌 Over 120 Capchasers working across 14 cities around the world representing over 20 nationalities
🌎 10 countries in which we operate
📈 250% annual company growth
👫 Built an awesome culture.

We are currently looking for a talented and motivated Financial Analyst to continue building the world's best fintech risk team. As a Financial Analyst, you will take full responsibility for assessing the risk of SaaS companies of every shape and size. The final advance decision will be mainly dictated by the output of your analysis. You will continuously contribute to the general underwriting process by suggesting specific improvements to the Tech and Underwriting teams. In this position, you will be exposed to numerous and innovative ways of assessing risk that allow us to minimize default rates and underwriting time.
You'll work alongside exceptional professionals and very close to the founding team. The Risk team at Capchase is responsible for underwriting, pricing and portfolio monitoring while being supported by an incredibly talented Data Science team.

🚀 THE JOB
- We will rely on you to thoroughly assess the credit risk of SaaS companies by analyzing their financial health and preparing insightful memos for credit committee approval. You'll have to go the extra mile to make sure we didn't miss anything along the way.
- You will come up with alternative, less orthodox ways of looking at risk, that allow us to underwrite faster and more accurately. Consistent and structured approaches shouldn't necessarily be at odds with thinking outside the box. We want you to be critical.
- You will work closely with the Data Science team to automate manual underwriting processes and to test out new hypotheses. No one is good at everything - we get it. So we're putting technical firepower at your disposal so we can streamline processes together.
- You will collaborate with the Growth team bringing the learnings from the underwriting process to drive origination within our risk appetite. Unlike other organizations, the growth and risk teams at Capchase are not pulling in opposite directions.
- Your contribution to the underwriting process will act as a key input for the senior management team to make strategic customer and portfolio decisions. Why would we hire the cream of the crop and then tell people how to do their job?

🧠 The Requirements
- Bachelor’s degree in relevant subjects (Finance, Accounting, Engineering, Mathematics/Physics, Business, etc.).
- You know financial statements inside out.
- 1-2 years of relevant experience at a FinTech risk/credit team, rating agency, Big 4 firm, bank, or the credit risk team of an asset manager/credit fund/hedge fund.
- Extremely eager to learn and to constantly improve the underwriting process.
- Strong analytical and quantitative skills.
- Mastery of Excel and other spreadsheet tools.

💡 Extra Credit
- Experience analyzing SaaS/recurring revenue companies (for example at a Venture Capital firm).
- Familiarity with SaaS metrics and business model.
- CFA or CPA certified.
- Experience in relevant coding languages like SQL or Python.

Last updated on Oct 3, 2024

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