At a Glance
- Tasks: Join a team to develop AI solutions for market risk management and enhance financial strategies.
- Company: Deutsche Bank is a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, private healthcare, and flexible perks.
- Why this job: Be part of an innovative team shaping the future of market risk management with cutting-edge technology.
- Qualifications: Expertise in ML, strong maths/statistics background, and solid Python programming skills required.
- Other info: Opportunities for coaching, continuous learning, and a supportive work culture await you.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Quant Strategist Artificial Intelligence (AI) Research Engineer role at Australian Investors Association.
Position Overview
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 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 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. 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.
Quant Strategist Artificial Intelligence (AI) Research Engineer employer: Australian Investors Association Limited
Contact Detail:
Australian Investors Association Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Strategist Artificial Intelligence (AI) Research Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to financial risk management. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the finance and AI sectors. Attend relevant conferences, webinars, or meetups to connect with individuals who work in similar roles. This can provide you with insights into the industry and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source projects that involve AI/ML applications in finance. This hands-on experience can be a great talking point in interviews.
✨Tip Number 4
Prepare to discuss how you would approach specific problem statements related to market risk management using AI techniques. Think about potential challenges and solutions, as this will show your analytical thinking and problem-solving abilities during the interview.
We think you need these skills to ace Quant Strategist Artificial Intelligence (AI) Research Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quant Strategist AI Research Engineer position. Familiarise yourself with AI and ML techniques relevant to market risk management.
Tailor Your CV: Highlight your experience in AI, machine learning, and programming languages like Python and C++. Include specific projects or research that demonstrate your skills and creativity in financial risk management.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Emphasise your passion for AI and how your previous work aligns with the goals of the Market Risk Strats unit.
Showcase Relevant Projects: If you have worked on projects involving AI/ML in finance, be sure to include them in your application. Discuss the impact of these projects and any innovative solutions you developed.
How to prepare for a job interview at Australian Investors Association Limited
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in machine learning and programming, particularly in Python. Highlight any relevant projects or research you've conducted that demonstrate your ability to apply these skills in financial risk management.
✨Understand the Role of AI in Market Risk
Familiarise yourself with how AI and machine learning can enhance market risk management. Be ready to discuss specific examples of AI applications in this field and how they can improve efficiency and decision-making.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think about how you would approach real-world scenarios where AI could be applied to market risk challenges, and be ready to articulate your thought process.
✨Demonstrate Collaboration Skills
Since the role involves working closely with traders and risk managers, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to achieve common goals, especially in technical projects.