Data Scientist in AI and Analytics Team
- Lead and contribute to the design, development, and deployment of advanced analytics solutions using Databricks and Azure, supporting supervisory and regulatory objectives.
- Apply innovative data science techniques including NLP, RAG, and machine learning to extract insights from complex, multi-source regulatory data sets.
- Collaborate with supervisors and technical team members to comprehend requirements and deliver solid, scalable solutions that enhance supervision.
- Promote the implementation of guidelines in CI/CD, DevOps, and agile delivery, coordinating sprints and guiding team members in contemporary engineering workflows.
- Build and maintain data pipelines and analytical workflows, ensuring data quality, security, and compliance with regulatory standards.
- Stay abreast of the latest developments in data science, cloud engineering, and financial supervision, sharing knowledge with technical and non-technical audiences.
- Collaborate and build relationships inclusively with end-users including supervisors of banks and insurers to understand their needs and ensure tools meet those needs.
- Demonstrable expertise in Databricks and Microsoft Azure (including Azure Data Factory, Databricks, and related services).
- Strong programming skills in Python (and/or Pyspark, SQL), with experience in building and deploying machine learning models in production environments.
- Hands-on experience with NLP, RAG, and other advanced analytics techniques, ideally applied to financial or regulatory data.
- Solid understanding of supervision, prudential regulation, and the data sets underpinning supervisory analytics.
- Impressive communication skills, works well in teams, builds impactful relationships with partners, demonstrates persuasive abilities.
- Verified experience in steering delivery sprints, creating CI/CD pipelines, and engaging in agile, multi-functional teams.
- Familiarity with regulatory technology (RegTech) and supervisory technology (SupTech) trends.
- Interest in financial markets, regulation, and continuous professional development (e.g., Azure certifications, databricks certifications).
- Demonstrable experience of managing/mentoring junior staff.
- Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year. The Bank has the discretion to vary standard accrual rates and dial up and dial down rates at any time and to withdraw dial up and dial down options at any time.
- A discretionary performance award based on a current award pool.
- An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.
- 26 days' annual leave with option to buy up to 12 additional days through flexible benefits.
- Private medical insurance and income protection.
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