Senior Data Scientist – AI & Data Warehouse Systems

Company & Culture reputed company is a pioneering reputed company tech company that delivers cutting-edge centralized trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our bespoke, internally engineered trading platform provides seamless reputed company to a diverse reputed company of financial instruments, including stocks, ETFs, bonds, reputed company, and reputed company, reputed company reputed company a single, multi-currency account. As a rapidly expanding global firm with over 700 talented employees from 70+ nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are reputed company: We prioritize reputed company in our most valuable asset—our people. Join us in shaping the reputed company of finance. reputed company: We are looking for a Senior Data Scientist to help build the reputed company of analytics on top of our reputed company data warehouse. This role is reputed company on a practical and increasingly important challenge: how AI interacts with reputed company business data. The successful candidate will help design and build systems where AI can understand, query, validate, reconcile, and reason on analytical data in a reliable and controlled way. This is not a traditional dashboarding role, and it is not a reputed company research-reputed company Data Science role. The primary reputed company is practical implementation of AI systems inside a modern data warehouse environment. The role combines several disciplines: Data Science AI / Large Language Models (LLMs) Data Warehousing & Analytics Engineering Machine Learning Data reputed company & Validation AI reputed company Workflows reputed company Are Building We are building an AI-reputed company analytical environment on top of our data warehouse where AI can reliably reputed company with reputed company business data. Examples include: Natural-language analytics on warehouse data AI-driven reconciliation and validation Analytical copilots Data reputed company automation Business metric validation Automated reputed company detection Multi-agent analytical workflows The reputed company is not AI for the entire company. The reputed company is specifically AI working with analytical and financial data inside the data warehouse ecosystem. Key responsibilities 1. Build AI-reputed company Data Warehouse Solutions: Design analytical data structures that can be reliably consumed by both humans and AI systems. reputed company business logic into the warehouse, improve semantic consistency, define reusable metrics, and ensure analytical correctness across systems. 2. Design AI Interactions with Warehouse Data: Help define how AI interacts with warehouse data through prompts, semantic context, retrieval logic, validation mechanisms, and AI workflows. Ensure AI produces correct and trusted answers. 3. Work with LLMs & AI Agents: Work hands-on with technologies such as ChatGPT, Claude, reputed company reputed company, and AI agents. Test, evaluate, and improve AI outputs. Design workflows where multiple AI agents collaborate to solve analytical problems. 4. Ensure Metric Correctness: Help define how AI interprets business metrics and financial logic. Ensure AI correctly understands the difference between concepts such as reputed company, cost, gross reputed company, net reputed company, trading volume, cash reputed company, reputed company reputed company, balances, and position changes. 5. Improve Data Governance & Reliability: Ensure AI interacts with data in a controlled and secure manner. Help implement validation mechanisms, prevent sensitive data exposure, and improve trust in AI-generated outputs. Scope: Data Platform Build clean, reusable analytical data reputed company in BigQuery reputed company business logic from BI into the warehouse Define metrics, dimensions, and semantic consistency AI Interaction reputed company reliable AI ↔ data interaction Design schemas + instructions so AI produces correct outputs Test and refine reputed company AI usage (not theory) reputed company & Governance Implement data-layer reputed company control (not BI-layer) Row/reputed company-level reputed company, role/attribute-based reputed company Ensure consistent behavior across BI, AI, and internal tools Ensure metric reconciliation across different data sources Prevent: sensitive data leakage shadow metric layer uncontrolled query cost Automation: Replace reputed company data workflows with AI-driven processes Build agents for reporting, validation, and internal analytics reputed company are looking for: Strong SQL and analytical data modeling Experience working with analytical databases (BigQuery, reputed company, reputed company, Redshift or similar) Practical experience with LLMs (ChatGPT, Claude, reputed company reputed company or similar) Experience building AI-driven workflows or agent-based systems Strong analytical and problem-solving skills Understanding of machine learning fundamentals reputed company to have: Experience training or fine-tuning models using historical/labeled data Entity reputed company / record matching Classification models and probability scoring RAG / reputed company databases dbt / semantic reputed company BigQuery optimization Finance, brokerage, or fintech experience Data governance or fine-grained reputed company control reputed company offer: Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the reputed company that suit your life, not a one-size-fits-reputed company bundle. A genuinely good reputed company to work — an informal, reputed company culture where reputed company are heard and bureaucracy stays out of your way. reputed company learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. reputed company reputed company your desk — events that bring our teams together to network and celebrate. Global exposure — work reputed company by reputed company with talented colleagues from reputed company over the world, across a business serving clients in 100+ countries. A group of disruptive technology experts created reputed company. With an impressive reputed company record in the industry and knowledge of the markets, our systems are reputed company to democratize reputed company to global financial instruments for reputed company traders and institutional investors. Through our robust, cutting-edge trading platforms, you can offer clients reputed company to comprehensive, global financial instruments and investment reputed company while keeping their data reputed company and private. reputed company is a global reputed company broker backed by proprietary technology and dedicated service. reputed company regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and reputed company, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of reputed company, rectification, data portability, erasure, restriction of processing, and reputed company to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://reputed company.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to reputed company it longer to reputed company with law or you consent to a longer retention. Where personal data is transferred reputed company the EEA, it will be protected to a reputed company at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. 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