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- Tasks: Join a dynamic team to develop cutting-edge analytics solutions for credit trading.
- Company: Deutsche Bank, a leading global bank with a commitment to innovation and diversity.
- Benefits: Competitive salary, 30 days holiday, private healthcare, and flexible benefits.
- Why this job: Make an impact in finance using advanced tech like AI and machine learning.
- Qualifications: 3+ years in investment banking, strong programming skills, and a relevant advanced degree.
- Other info: Collaborative culture with continuous learning and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Corporate Title: Associate/Vice President
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 quantitative credit strategists team working alongside Deutsche Bank’s European Flow Credit and Emerging Markets business. Our credit trading businesses are fully committed to technology as a key differentiator of performance and the partnership with quant strategists is seen as crucial to the future success of the desk.
You will be a member of a small agile team based in London delivering risk, profit and loss (P&L) and pre-trade flow and relative value analytics solutions to bond trading and sales. You will be a highly motivated self-starter with a working understanding of credit markets and the associated credit modelling mathematics as well as being able to build production quality software applications and reports to tight timescales using appropriate technologies (KDB+/Q, Python, C++, Javascript). The position is full time on the trading floor in London and requires rapidly reacting to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large-scale data sets we curate.
What we’ll offer you:
- 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:
- Development and support of daily flow analytics/risk/p&L systems
- Actively collaborate in system architecture and design, ensuring a clear understanding of how components at all levels interact across the overall system
- Discussing problems with the trading desk and gathering requirements for potential solutions
- Implementing flow analysis Management Information Systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability analysis)
- Development of pre-trade analytics to support trading decisions (computing trade relative value metrics and strategy back testing)
- Modelling expertise for a variety of quantitative problems the business has (e.g. portfolio optimization, flow matching, trade prospect ranking)
Your skills and experience:
- 3+ years front office investment banking experience in technical or quant roles
- Highly proficient with programming in one or more of KDB+/Q, Python, C++, Javascript with experience in working with Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.)
- Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering
- Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
- Experience in web development using JavaScript, Python, HTML5 with good analytical and quantitative skills
- Experience of machine learning and natural language processing is desirable
- Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively
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 (e.g. 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 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their 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 Credit Strategist in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Credit Strategist in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the finance and tech sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving KDB+/Q, Python, or machine learning. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with various teams. Mock interviews can be super helpful!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Deutsche Bank. Let's get you that dream job!
We think you need these skills to ace Quantitative Credit Strategist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Quantitative Credit Strategist role. Highlight your programming expertise in KDB+/Q, Python, C++, and JavaScript, as well as any experience with machine learning and natural language processing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit markets and how your background makes you a perfect fit for our team. Don’t forget to mention your collaborative spirit and problem-solving skills!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or academic setting, make sure to include them. Discuss the technologies you used and the impact of your work, especially if it involved analytics solutions or software development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Deutsche Bank
✨Know Your Numbers
As a Quantitative Credit Strategist, you'll need to demonstrate your understanding of credit markets and quantitative analysis. Brush up on key metrics and models relevant to the role, and be prepared to discuss how you've applied these in past experiences.
✨Showcase Your Coding Skills
Since programming is crucial for this position, make sure you can talk confidently about your experience with KDB+/Q, Python, C++, and JavaScript. Bring examples of projects where you've built production-quality software applications or analytics solutions, and be ready to solve coding challenges during the interview.
✨Understand the Trading Floor Dynamics
Familiarise yourself with how the trading desk operates and the types of decisions traders make. Be prepared to discuss how your analytical skills can support trading decisions and improve P&L systems. Showing that you understand the fast-paced environment will set you apart.
✨Communicate Complex Ideas Simply
Excellent interpersonal skills are essential for this role. Practice explaining complex concepts in a straightforward manner, as you'll need to collaborate with various teams. Think of examples where you've successfully communicated technical information to non-technical stakeholders.