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About the Role

Join FX Data Analytics within Global Foreign Exchange as a hands-on Lead Data Analyst leading two to four analysts. You will turn complex financial and risk data into trusted datasets, controls and Tableau insights for Sales, Trading, Finance, Risk and Controls, modernizing legacy flows, leading migrations and using AI-assisted workflows.

Responsibilities

• Lead two to four analysts: set priorities, coach delivery and review analysis and code
• Represent analytics as the senior stakeholder to data platform engineers, translating business needs into clear requirements, priorities, acceptance criteria and outcomes
• Design, build and productionize analytical datasets, controls, management information and Tableau dashboards; own their sources, models, business rules, quality, testing, access, lineage and documentation
• Lead modernization, migration and decommissioning by mapping dependencies, assessing gaps, prioritising delivery and protecting critical consumers
• Remain hands-on in SQL and Python delivery, releases, incident investigation and performance tuning, embedding review, knowledge-sharing and engineering standards

Requirements

• Extensive experience delivering trusted financial and risk data products, with an understanding of Foreign Exchange products, trade lifecycles, revenue, risk and client data.
• Expert Structured Query Language skills, strong Python capability and advanced Tableau knowledge, supported by experience delivering controlled, tested and supportable production data products.
• Strong interpersonal and communication skills, with the ability to collaborate, build trust and connect business stakeholders with data platform engineering teams.
• Experience guiding and coaching a small analytics team while remaining closely involved in delivery and supporting shared outcomes.
• Proven use of GitHub Copilot or equivalent Artificial Intelligence-assisted workflows across data analysis, coding, testing, review and documentation.
• A committed and responsive approach to data governance, quality, lineage, access controls and collaborative delivery.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

Skills

• SQL
• Python
• Tableau
• GitHub Copilot
• AI-assisted workflows
• Data governance
• Data quality
• Data lineage
• Access controls
• Collaborative delivery

Location

• London

Work Type

• Hybrid Working

Experience Level

• Director
• Lead

Salary/Compensations

• Competitive salary

Benefits

• Non-contributory pension
• 30 days’ holiday plus bank holidays
• Option to purchase additional days
• Life Assurance
• Private Healthcare
• Retail Discounts
• Bike4Work scheme
• Gym benefits
• 2 days’ volunteering leave per year
• Training and development
• Coaching and support from experts
• Culture of continuous learning

About the Company

• Deutsche Bank is the leading German bank with strong European roots and a global network.
• Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.
• We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
• Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

Equal Opportunity

• We welcome applications from all people and promote a positive, fair and inclusive work environment.
• We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)