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- Tasks: Design and implement a client strategy reporting platform with advanced analytics.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy competitive salary, 30 days holiday, private healthcare, and flexible benefits.
- Why this job: Make an impact by transforming client analytics in a dynamic financial environment.
- Qualifications: Degree in computer science or related field; experience in data science and visualisation.
- Other info: Continuous learning culture with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the GSA team to implement a client strategy reporting platform. You will support delivering a high performance client analytics platform providing descriptive and predictive analytics on Deutsche Bank's clients, their performance and the opportunities they can provide. Familiarity with advanced data science techniques and machine learning methodologies plus a commercial attitude and detailâoriented approach to breaking down complex matters are required. You will become part of a worldâclass community focused on skills development and career growth.
What We'll Offer You
- Competitive salary and nonâcontributory pension
- 30 days holiday plus bank holidays, with the option to purchase additional days
- Life Assurance and Private Healthcare for you and your family
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
- The opportunity to support a wide ranging CSR programme plus 2 days volunteering leave per year
Key Responsibilities
- Design and implement a uniform set of client profitability metrics used across the Corporate Bank and Investment Bank
- Design and implement visualisations to embed analytics into business workflows
- Design and implement data models and flows that are optimally flexible and performant
- Proficient in data engineering and data science implementations in Python (Pandas) and SQL
- Experience with DashUI / agâgrid / plotly visualisation techniques is a plus
Skills and Experience
- Extensive data and analytics experience, ideally within a financial services environment. Expertise in visualisation design a plus.
- University degree in computer science, data science, statistics, mathematics or a related field
- Excellent understanding of machine learning algorithms, statistical models and data structures
- Ability to translate data to extract meaningful commercial insights and visualise data to support decision making processes
- Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to explain complex concepts to nonâtechnical stakeholders
How We'll Support You
- Training and development to help you excel in your career
- Flexible working to assist with personal priorities
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits you can tailor to your needs
About Us
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. We have also received a Gold Award from Stonewall and are named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss how we can best support you. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Seniority Level: Not Applicable
Employment Type: Fullâtime
Job Function: Product Management and Marketing
Client Strats Product Developer in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Client Strats Product Developer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use examples from your past experiences that highlight your data science expertise and how you can add value to the team.
â¨Tip Number 3
Donât just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, itâs a great way to ask if they need any more info from you.
â¨Tip Number 4
Check out our website for the latest job openings. Weâre always looking for talented individuals like you to join our team. Applying directly through us gives you a better chance of standing out!
We think you need these skills to ace Client Strats Product Developer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data science expertise and any relevant projects you've worked on, especially those involving Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about client analytics and how your background makes you a great fit for the role. Be sure to mention any experience with visualisation techniques like DashUI or plotly.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you break down problems and come up with innovative solutions!
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way for us to receive your details and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at Deutsche Bank
â¨Know Your Data Inside Out
Make sure youâre well-versed in data science techniques and machine learning methodologies. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your proficiency in these areas during the interview.
â¨Visualisation is Key
Since the role involves designing visualisations, prepare to discuss your experience with tools like DashUI or plotly. Bring examples of your past work that showcase your ability to turn complex data into clear, actionable insights.
â¨Understand the Business Context
Familiarise yourself with Deutsche Bankâs client strategy and how analytics can drive business decisions. Be ready to explain how your skills can contribute to their goals of efficiency and transformation.
â¨Show Off Your Interpersonal Skills
This role requires collaboration with various teams, so be prepared to discuss how you've successfully worked with non-technical stakeholders in the past. Highlight your ability to communicate complex concepts in a simple way.
