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- Tasks: Join a dynamic team to develop AI-driven models for sales and trading.
- Company: Deutsche Bank is a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, 30 days holiday, private healthcare, and flexible perks.
- Why this job: Make an impact in a collaborative environment while advancing your career in data science.
- Qualifications: MSc or equivalent experience in quantitative data science; strong programming skills required.
- Other info: Opportunities for mentorship and involvement in CSR initiatives.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Corporate Title: Vice President
Group Strategic Analytics 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 be joining the newly established Quantitative Research and Development (QRD) Lab within Group Strategic Analytics (GSA). QRD’s central mission is to empower sales and trading function, and the Bank more broadly, with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning (AI/ML) space. You will be joining a focussed and dedicated team and will have the opportunity to use your strong foundational knowledge and practical experience in the field of quantitative data science to deliver impactful solutions to the business. You will be working together with – or provide mentorship to – team members, as well as collaborating with key stakeholders and partnering teams.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory 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 + 2 days’ volunteering leave per year.
Your key responsibilities:
- Work with partnering sales and trading (or related) teams to formulate the initiative’s problem statement, business case, proposed approach, delivery schedule, and key performance indicators.
- Conduct the required research and development across the full life cycle, from idea inception to documentation and maintenance/improvements of the productionised solution.
- Keeping up to date with the latest developments in the field, and share knowledge with the broader team.
- Project management, coordination, and managerial oversight where required.
Your skills and experience:
- Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including probability, time-series modelling, optimisation).
- A track record of original research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions.
- Experience analysing large structured and/or unstructured datasets.
- Ability to communicate technical subject matter clearly and concisely tailored to diverse audiences.
- Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus.
- Comfortable working both as a strong sole contributor and as a member of a collaborative team effort.
- Excellent academic/educational credentials. Educated to minimum Master’s of Science (MSc) level or equivalent qualification/work experience and experience in the Finance industry is a plus.
How we’ll support you:
- Training and development to help you excel in your career.
- Flexible working to assist you balance your personal priorities.
- A range of flexible benefits that you can tailor to suit your needs.
- 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 (for example, screen readers, assistive hearing devices, adapted keyboards).
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 in The Times Top 50 Employers for Gender Equality 2024 for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion. 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. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Quantitative Data Scientist employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, particularly in the finance sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the industry.
✨Tip Number 2
Network with professionals already working in quantitative data science or related fields. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving deep learning or natural language processing. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Practice articulating complex technical concepts in simple terms. Since the role requires communication with diverse audiences, being able to explain your work clearly will set you apart from other candidates.
We think you need these skills to ace Quantitative Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and skills required for the Quantitative Data Scientist position. Tailor your application to highlight how your experience aligns with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your expertise in deep learning, natural language processing, and any relevant projects you've worked on. Provide specific examples of how you've used quantitative data science to deliver impactful solutions.
Showcase Technical Skills: Clearly outline your programming skills, particularly in Python, and mention any additional languages you are proficient in. Include details about your experience with large datasets and any original research you've conducted.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of the company's mission and how you can contribute to their goals. Make it personal and engaging to stand out.
How to prepare for a job interview at Deutsche Bank
✨Showcase Your Technical Skills
As a Quantitative Data Scientist, it's crucial to demonstrate your expertise in deep learning, natural language processing, and programming languages like Python. Be prepared to discuss specific projects where you've applied these skills, highlighting your problem-solving approach and the impact of your work.
✨Communicate Clearly
You’ll need to convey complex technical concepts to diverse audiences. Practice explaining your past projects and methodologies in simple terms, ensuring that even non-technical stakeholders can grasp the significance of your work. This will showcase your ability to bridge the gap between technical and business teams.
✨Stay Updated on Industry Trends
The field of AI/ML is constantly evolving. Make sure to research the latest developments and be ready to discuss how they could apply to the role. Showing that you are proactive about staying informed will demonstrate your commitment to continuous learning and innovation.
✨Prepare for Team Collaboration Questions
Since the role involves working closely with sales and trading teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your experience in mentoring others and your ability to work both independently and as part of a team, as this will be key to your success in the position.
