Process Safety Director, UK and Ireland
Jensen Hughes
Lead Jensen Hughes’ process safety consultancy growth across the UK and Ireland. Shape services, advise industrial clients, develop business and mentor technical teams.
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Finom एक फिनटेक कंपनी है जो छोटे और मध्यम उद्यमों, फ्रीलांसरों और अन्य व्यवसायों को रोज़मर्रा के वित्तीय प्रबंधन के लिए व्यावहारिक उपकरण उपलब्ध कराती है। इसका प्लेटफ़ॉर्म इनवॉइसिंग, खर्च प्रबंधन, ऑनलाइन बिज़नेस अकाउंट खोलना, कैशबैक और अंतरराष्ट्रीय IBAN खातों को एक साथ लाता है। 2019 में स्थापित Finom फिनटेक, वित्त और B2B क्षेत्रों में काम करती है और इसमें 501–1,000 कर्मचारी हैं। कंपनी सुरक्षित और कुशल व्यावसायिक बैंकिंग पर ध्यान केंद्रित करते हुए SolarisBank और Treezor सहित बैंकों के साथ साझेदारी के माध्यम से अपनी वित्तीय सेवा अवसंरचना को सहयोग देती है।
Senior Machine Learning Engineer, Financial Crime
Lead Finom’s production Dynamic Risk Score and develop machine learning systems that help detect financial crime for European small and medium-sized businesses. Deploy, monitor, and improve models and transaction rules across markets.
विवरण
- Build end-to-end classification and regression models to detect and prevent financial crime during transactions and client onboarding
- Turn requirements into prototypes and deploy solutions to production
- Lead the Dynamic Risk Score across markets, scoring the full client base daily
- Manage ML-driven transaction rules and improve detection performance and alert volumes
- Set up ongoing monitoring of production models and rules
- Build a champion-challenger framework to keep the strongest-performing model in service
- Help develop ML infrastructure for operationalizing models and enabling communication between services
- Deploy, serve, monitor, and improve the production machine learning product
आवश्यकताएँ
- Bring at least five years of experience as a machine learning engineer or full-stack data scientist
- Have production deployment experience, including API services such as FastAPI
- Demonstrate strong Python and SQL skills
- Have experience with cloud data platforms such as Databricks
- Be able to design and improve architecture and infrastructure for serving models of varying complexity
- Have experience with production model monitoring and champion-challenger or A/B evaluation
- Hold a quantitative degree in mathematics, engineering, economics, or computer science
- Be fully proficient in English
- Graph modeling or foundation models and embeddings experience is a plus
- Bring critical and analytical thinking, initiative, a results focus, and comfort working independently in a startup environment
लाभ
- Access resources and opportunities for ongoing personal and professional growth
- Work remotely or in a hybrid arrangement across Europe, with flexibility to travel
- Join the company-wide stock options program
- Receive ongoing support in a modern, friendly, environmentally conscious company culture
- Take part in the Work & Swim Program, including one month in a company apartment in Cyprus
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