Financial Risk Data Analyst Job at Crypto Finance, Switzerland County, IN

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  • Crypto Finance
  • Switzerland County, IN

Job Description

Join us at Crypto Finance Group, where everyone can make a significant impact. We invite you to be part of our journey and help shape the future of our company. About Crypto Finance

Crypto Finance Group, part of Deutsche Börse Group, provides professional digital asset solutions to institutional clients. The Group comprises Crypto Finance AG, regulated by FINMA in Switzerland, offering trading, custody, and wallet services, as well as Crypto Finance (Deutschland) GmbH, regulated by BaFin in Germany, offering trading and custody services. In January 2025, Crypto Finance secured a MiCAR license for the European market as one of the first providers in the EU. Crypto Finance AG is a SIX-approved crypto custodian for ETP issuers.

For more information, please visit our website at [About us - Crypto Finance](

We are seeking a highly motivated and technically strong Financial Risk Data Analyst to join our Financial Risk team. This is not a traditional reporting role. In this position, you will focus on building, automating, and continuously improving the data infrastructure and processes that underpin financial risk analytics and regulatory reporting. Working closely with the Financial Risk Manager and the CRO, you will help transform risk management from manual workflows into a scalable, data-driven, and automation-focused framework.

Responsibilities
  • Design, build, and maintain data pipelines (SQL / Python) for financial risk and regulatory reporting 
  • Automate and improve processes for capital adequacy, liquidity metrics (LCR/NSFR), leverage ratio, and large exposures 
  • Ensure data quality, consistency, traceability, and robustness across risk systems 
  • Collaborate on risk analytics, ad-hoc analyses, and projects related to existing and new products 
  • Identify opportunities to streamline manual controls and reporting workflows 
  • Contribute to the continuous improvement of our risk data architecture and tooling landscape 
  • Bachelor’s or Master’s degree in Finance, Economics, Financial Engineering, Quantitative Finance, Data Science, or a related field 
  • 2–5 years of relevant experience in risk, data analytics, fintech, banking, or data infrastructure
  • Strong hands-on programming skills in SQL and Python 
  • Experience with data pipelines, modelling, or data infrastructure
  • Solid understanding of financial products (e.g., futures, options, swaps) and/or risk concepts 
  • Strong analytical and structured problem-solving skills 
  • Ability to work independently in a small, high-impact team 
  • Familiarity with regulatory frameworks is a plus 
  • Crypto / digital assets exposure is a plus 
  • Fluent in English; German is a plus 
  • Self-driven, hands-on, and execution-oriented personality 
  • Be part of an international, fast-paced blockchain and fintech team led by experienced professionals 
  • Shape the future of finance while working at the cutting edge of B2B digital asset solutions 
  • Contribute to a collaborative, entrepreneurial culture with flat hierarchies 
  • Take on meaningful responsibility with room for learning and professional growth 
  • Gain deep industry insights and make a tangible impact 
  • Join regular company-wide meetings, knowledge-sharing sessions, and team events 
  • Enjoy a modern and central workplace in Zurich with top-tier infrastructure
Our culture

At the heart of our company, we prioritize: 

  • Innovation and Continuous Learning 

  • Collaboration and Knowledge Sharing 

  • Entrepreneurial Spirit and Flat Hierarchies 

  • Values such as Excellence, Delivery, Ownership, Passion, and Unity 

Please note:
  • We do not accept CVs from recruiting or staffing agencies. 

  • Due to the Swiss labor legislation, we can only accept applicants who have the right to work in Switzerland (are in possession of a Swiss work permit or are EU/EFTA citizens). All other applications will not be considered.

Job Tags

Full time

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