Quantitative Data Scientist

Australian Investors Association; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading financial institution is seeking a Quantitative Data Scientist in London. The role involves leveraging quantitative data-driven models to support sales and trading teams, providing mentorship, and ensuring the delivery of impactful solutions. Ideal candidates have strong foundational knowledge in data science, particularly in AI/ML, and are proficient in Python.

Benefits

Hybrid Working

30 days’ holiday plus bank holidays

Life Assurance and Private Healthcare

Flexible benefits including Retail Discounts

Volunteering leave

Qualifications

• Expertise in deep learning and natural language processing.
• Ability to analyze large datasets.
• Experience in the Finance industry is a plus.

Responsibilities

• Collaborate with sales and trading teams to define project goals.
• Conduct research and development throughout the project lifecycle.
• Manage projects and ensure timely delivery of solutions.

Skills

Deep Learning

Natural Language Processing

Mathematics

Statistics

Programming in Python

Communication

Education

Master’s of Science (MSc)

Tools

Python

Java

C++

Kdb/q

Job description

Quantitative Data Scientist

Job ID:R0392624 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2025-06-03 Location: London

Position Overview

Job Title Quantitative Data Scientist

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

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

• 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. Click here to see what we do.

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.