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- Tasks: Join our Risk Analytics team to assess and mitigate risks for customers.
- Company: We're a human-centric FinTech with a strong presence in Europe.
- Benefits: Enjoy flexible working conditions and a collaborative environment.
- Why this job: Make an impact in risk assessment while working with cutting-edge technology.
- Qualifications: Experience in data analytics and credit risk management is essential.
- Other info: Work in a dynamic, international team focused on innovation.
The predicted salary is between 36000 - 60000 £ per year.
(Unlimited, full-time) Join our team at our location in Berlin, Amsterdam, Heerenveen, Verl, Baden-Baden, Oslo or Stockholm – flexible working conditions available.
We are looking for a (Senior) Analyst for our Risk Analytics team with a hands-on attitude that is keen to have an impact on our risk assessment by mitigating risk in terms of affordability/solvency for the external end customer in a balanced risk decision environment. The focus of the team lies on defining our risk strategy, its (further) development, and the constant monitoring and steering according to it. In line with the company’s overarching vision to become the most human-centric FinTech, the Risk Analytics team develops appropriate customer risk strategies for different markets and ecosystems. The organization is characterized by technology-based rapid learning and decision-making cycles and guided by a strong common purpose to jointly create value for all stakeholders. Strong footprint in DACH/NL & Nordics with further expansion ambition within Europe, e.g., UK.
The main responsibilities of the (Senior) Risk Analyst (m/f/d) are:
- Actively contributing in a high-performing team of credit risk & analytics experts.
- Continuous improvement of underlying data analysis and existing business processes to support our product expansion in new areas.
- Contribute with risk insights to pricing requests and is in close contact with various internal stakeholders for various analytical requirements.
- Establish best practices for ad-hoc & deep dive analyses.
- Active participation in cross-functional team “Risk Data Science” working on giant-leap changes in machine learning based models.
- Furthermore, you interact with the BI experts to improve overall monitoring/reporting and the application of advanced analytics.
- You will work in close collaboration with other functions such as Risk Product (RPS), Fraud Risk Steering, Data Science, Finance, etc.
- The function is reporting into the Risk Analytics & Steering Lead, which is reporting into the Functional Unit Lead Customer Risk.
What you should bring:
- You have a proven track record in working in data analytics, ideally within the fast-growing payment industry/fintech universe.
- Relevant experience in a credit risk management environment.
- Expertise in using various programming languages like SQL (mandatory) or Python and R (nice to have) to perform complex analytical tasks.
- You have experience in working in an international, agile, cross-functional environment.
- You embrace new technology and understand the potential of data and advanced analytics.
- You are a strategic thinker with vision and a strong operator – you get things done.
- Language: English (mandatory); German or Dutch is a plus.
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(Senior) Risk Analyst (m/f/d) employer: Riverty GmbH
Contact Detail:
Riverty GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Senior) Risk Analyst (m/f/d)
✨Tip Number 1
Familiarize yourself with the latest trends in risk analytics and the fintech industry. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the risk management and analytics fields. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your SQL skills and familiarize yourself with machine learning concepts. Being able to discuss your technical expertise confidently can set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your experience in cross-functional teams. Think of specific examples where you've collaborated with different departments, as this is crucial for the role at StudySmarter.
We think you need these skills to ace (Senior) Risk Analyst (m/f/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and credit risk management. Emphasize any relevant roles in the fintech industry and showcase your proficiency in SQL, Python, or R.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s vision of becoming the most human-centric FinTech. Discuss how your skills and experiences align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: Provide specific examples of past projects where you utilized data analysis to drive decision-making. Highlight any experience with machine learning models or cross-functional collaboration that demonstrates your ability to contribute to the Risk Analytics team.
Proofread and Format: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your formatting is consistent and professional, making it easy for the hiring team to read your application.
How to prepare for a job interview at Riverty GmbH
✨Show Your Analytical Skills
Be prepared to discuss specific examples of your experience in data analytics, especially within the fintech or payment industry. Highlight how you've used SQL or other programming languages to solve complex problems.
✨Understand the Risk Landscape
Familiarize yourself with current trends and challenges in credit risk management. Be ready to share your insights on how these factors could impact the company's risk strategy and decision-making processes.
✨Demonstrate Team Collaboration
Since the role involves working closely with cross-functional teams, prepare to discuss your experience in collaborative environments. Share examples of how you've successfully worked with different stakeholders to achieve common goals.
✨Embrace Technology and Innovation
Show your enthusiasm for new technologies and advanced analytics. Discuss any relevant projects where you've implemented innovative solutions or contributed to machine learning models, as this aligns with the company's vision.
