We are Ramp, a well-funded scaleup that makes the Web3 world a reality 🚀

• Managing and monitoring Risk & Compliance decision making models including Fraud and AML transaction monitoring rules, customer risk rating models, partner risk rating models, and fraud machine learning models and rules;
• Establishing baseline metrics for strategies and track actual performance to expectations by analysing large datasets;
• Collaborating with Product and Engineering teams to develop and enhance continuous feedback loops to promote ongoing improvement of Risk & Compliance controls performance without compromising customer experience;
• Developing and maintaining appropriate documentation for all model changes;implementing and actively managing an ongoing model validation and tuning framework for continuous identification and monitoring of emerging model risks/issues;
• Engaging cross-functionally across the entire organisation to coordinate and ensure a strategic approach to model validation;
• Analysing chargeback and fraud data to determine their root cause and identify process improvements;
• Helping improve manual review accuracy and efficiency.

• Minimum 3-4 years of experience in quantitative analytics or model validation working with data in Risk, Fraud, AML or Financial Crimes;
• Demonstrated proficiency with SQL, R and/or Python;
• Solid knowledge of Card Not Present (CNP) environment and Fraud Risk Controls;
• Problem-solving and decision-making skills, with the ability to analyse complex information to identify the key issue/action and drive resolution;
• Ability to work effectively with a variety of cross-functional stakeholders;
• Knowledge of model risk management and associated regulatory requirements (such as NYDFS Part 504 and JMLSG sectoral guidance);
• Strong verbal and written communication skills with the ability to work with technical and non-technical staff;
• Strong project management skills and attention to detail;
• Fluency in English; any additional language abilities are a plus (we operate globally!);
• Genuine enthusiasm and curiosity about fintech and crypto.

• Discovery phone interview with a recruiter (30 minutes);
• Technical and Lifestyle interview with our Lead Analyst and another person from Data team(90 minutes);
• Optional interview with domain specialist (60 minutes).

• 💰 salary depending on the seniority level between 19 000 - 30 000 PLN monthly net on an invoice - or equivalent on an employment contract,
• 👩‍🎓 the yearly self-development and conference budget of 2000 PLN to help you grow,
• 📈 stock options in a rapidly growing company,
• 🪙 zero-fee crypto purchases via Ramp,
• 🏝 26+ fully paid days off (or more if you need it),
• 🏠 comfy workspace located in Warsaw, Wroclaw; work from home is also an option,
• 🏊‍♀️ private health care package and Multisport Plus card for you and your partner - fully on us,
• 💻 Mcbook Pro, and any other tools you may need,
• 🥇 being part of one of the hottest crypto startups,
• 🗣️ English lessons,
• 🔝 making decisions having an impact and a super high level of ownership.