Senior Financial Analyst (f/m/x)

About Fraugster:
Fraugster’s purpose is to reduce the spiralling levels of online fraud, estimated to reach $1 Trillion by the end of 2021. Our mission is to protect companies selling online, and intelligently manage the impacts of fraud on their business and their customers. We do this by using advanced AI to spot patterns of fraudulent behaviour, and stop them. The combination of our expertise and technology makes us one of the most accurate solutions in the market, and our ambition is to set a new standard of online trust, globally. Our customers are some of the worlds largest payment companies and most renowned brands in e-commerce, and we have the backing of Europe’s premier tech funds (Speedinvest, CommerzVentures, Munich Re Ventures and Earlybird).  We are a very diverse bunch of technologists and problem solvers from over 25 countries across the globe. Our culture is defined by intellectual curiosity, teamwork and a passion for solving complex problems. If this sounds like an environment you would like to be part of, we would love to hear from you.

Job Description:

As Senior Financial Analyst (f/m/x) you will own our Corporate KPI framework, being responsible for all internal financial reporting, especially measuring financial and operational performance of our channel partners and merchants. You will closely collaborate with Senior Leadership across the entire organization, and will report directly into our Head of Controlling & BI.

Among others, your responsibilities will include:

  • Owning Operational Controlling and our Corporate KPI Framework
  • Playing key role for company annual budget and monthly forecast
  • Preparing daily, weekly and monthly controlling reports for both internal and external stakeholders
  • Measuring financial and operational performance of our channel partners and merchants based on granular transaction-level data
  • Creating monthly revenue reports as input for customer invoicing
  • Supporting extension of our internal pricing methodology
  • Running simulations on sales pipeline development
  • Supporting internal stakeholders with tailored operational analysis

Skills and requirements:

  • Bachelor’s degree in business economics or similar
  • Excellent financial knowledge
  • Proficient financial modeling skills
  • Experienced in Operational Controlling
  • Strong analytical skills and numbers-driven
  • Excellent SQL and Excel skills
  • Team-oriented and hands-on approach
  • Experience in start-up environments preferable
  • Fluent in written and spoken business German and English

What we offer:

  • A fast-growing company with plenty of room to leave your mark
  • Fun, creative, diverse and focused teams committed to learning and problem-solving through collaboration
  • Competitive remuneration including virtual company shares
  • Flexible working hours, family support and remote-work opportunities as well as full support for family/private “situations” through flexible parental & compassionate leave policies
  • Diversity and feedback workshops on a monthly basis
  • A Learning & Development culture that includes educational budget and educational leave
  • Access to free German classes catering to 4 skill levels (A1, A2, B1, B2)
  • A safe space to openly share mistakes and “lessons learned” with each other
  • A standing invitation to initiate and participate in activities to shape and push the boundaries of our workplace culture

We know that diverse teams are strong teams, and welcome those with all identities, backgrounds, and experiences. See our mention in Talent’s post on Equity, Diversity and Inclusion here.

Upon clicking “Send”, you will submit your contact details and CV. For more information on how Fraugster processes your information, click here. Processing is based on your consent and you may withdraw it at any time.

Fraugster is a German-Israeli payment security company with the goal of eliminating fraud and increasing our customers’ profits. To achieve this we’ve invented an artificial intelligence technology that combines human-like accuracy with machine scalability. This ability lets us foresee fraudulent transactions before they actually happen and gives us a distinct competitive advantage over every other player in the anti-fraud space.

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