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Quant Strategist Artificial Intelligence (AI) Research Engineer

Australian Investors Association

London

Hybrid

GBP 60,000 - 100,000

10 days ago

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Job summary

An established industry player is seeking a Quant Strategist AI Research Engineer to innovate market risk management through AI and machine learning. This role is pivotal in developing cutting-edge solutions that could transform how market risks are measured and managed. You'll collaborate with a talented team to identify opportunities for AI, conduct research, and implement cloud-based applications. With a commitment to continuous learning and a supportive environment, this position offers a unique chance to make a significant impact in the financial sector while enjoying a hybrid work model and a competitive benefits package.

Benefits

Hybrid Working

Competitive Salary

30 Days Holiday

Life Assurance

Private Healthcare

Flexible Benefits

CSR Programme

Volunteering Leave

Qualifications

  • Expert knowledge in ML with a strong foundation in mathematics/statistics.
  • Experience in using AI techniques in financial risk management.

Responsibilities

  • Collaborate to enhance traditional approaches using AI/ML techniques.
  • Conduct research and develop cloud-based applications in Python and C++.

Skills

Machine Learning (ML)

Mathematics

Statistical Analysis

Python

C++

Neural Networks

Large Language Models

Cloud Deployment

Tools

Numpy

Sklearn

TensorFlow

PyTorch

Job description

Quant Strategist Artificial Intelligence (AI) Research Engineer

Job ID: R0384059 Listed: 2025-03-21 Regular/Temporary: Regular Location: London

Position Overview

Job Title: Quant Strategist Artificial Intelligence (AI) Research Engineer

Location: London

Corporate Title: Associate/Vice President/Director

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 join the Market Risk Strats unit within GSA, a team comprised of people with technology, front office quant and risk methodology experience. Your immediate focus will be on identifying and developing AI-based approaches in the field of market risk management, particularly risk measurement, stress testing and automation. This is an exciting opportunity to join the initiative at an early stage and contribute to defining the vision and creating novel solutions that could revolutionise how the Bank manages its market risk.

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

  • Collaborate with team members, risk managers and traders to identify problem statements where AI/Machine Learning (ML) techniques can enhance traditional approaches, increase efficiency or enable completely new capabilities.
  • Conduct the required research and mathematical modelling.
  • Participate in the development and maintenance of cloud-based production applications implemented in Python and C++.
  • Contribute to creating regulatory compliant model documentation for new models and model changes.
  • Analyse and explain results, collaborate with traders, risk managers and strategist colleagues to continuously improve models and risk management and pricing tools.
  • Help to demonstrate and defend the soundness and reliability of these novel concepts with internal model risk management, the regulator as well as end-users such as risk managers.

Your skills and experience

  • Expert working knowledge in ML and a strong foundation in mathematics/statistics.
  • Track record of original research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions.
  • Experience of using ML and other AI techniques such as neural networks or large language models in the field of financial risk management, including experience with delivering end-user products using these techniques, in the field of stress testing is advantageous.
  • Solid programming skills in Python required, experience/understanding of other languages such as C++ beneficial.
  • Experience with AI/ML Python modules like numpy, sklearn, tensorflow or pytorch is advantageous.
  • Experience in deploying software to Google cloud is beneficial.

How we’ll support you

  • Coaching and support from experts in your team.
  • A culture of continuous learning to aid progression.
  • 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 (such as 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.

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