At a Glance
- Tasks: Join a dynamic team to develop cutting-edge analytics solutions for credit trading.
- Company: Deutsche Bank, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, generous holiday, private healthcare, and flexible benefits.
- Other info: Collaborative culture with continuous learning and diverse opportunities.
- 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.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Corporate Title: 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.
Benefits You can expect:
- 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
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)
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
Support
- 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).
EEO Statement
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Quantitative Credit Strategist employer: Dormont Manufacturing Co
Deutsche Bank is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Quantitative Credit Strategist, you will benefit from a competitive salary, generous holiday allowance, and a commitment to employee growth through continuous learning and expert coaching. The inclusive culture and flexible benefits ensure that every team member can thrive both personally and professionally while contributing to cutting-edge analytics solutions in the fast-paced world of credit trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Credit Strategist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Deutsche Bank. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or code samples, make sure to share them. Demonstrating your programming prowess in KDB+/Q, Python, or C++ can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your quantitative skills and market knowledge. Be ready to discuss how you would tackle real-world problems in credit markets, as this will show you're not just book-smart but also practical.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Quantitative Credit Strategist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Credit Strategist role. Highlight your experience with programming languages like Python and C++, and any relevant projects that showcase your skills in credit markets and analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with the responsibilities listed. Don’t forget to mention your experience with machine learning and natural language processing if applicable.
Showcase Your Technical Skills:Since this role is heavily focused on technology, be sure to highlight your proficiency in KDB+/Q and your experience with SDLC tools. Include specific examples of how you've used these skills in past roles to solve complex problems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Numbers
As a Quantitative Credit Strategist, you'll need to demonstrate your understanding of credit markets and quantitative modelling. Brush up on key metrics and analytics related to risk and P&L. Be ready to discuss how you’ve applied these concepts in previous roles.
✨Showcase Your Coding Skills
Since programming is crucial for this role, make sure you can talk confidently about your experience with KDB+/Q, Python, C++, and JavaScript. Prepare to discuss specific projects where you built production-quality software applications, and be ready for potential coding challenges during the interview.
✨Understand the Trading Floor Dynamics
Familiarise yourself with how trading desks operate and the types of decisions they make. Be prepared to discuss how your analytical solutions can support trading decisions, especially in terms of pre-trade analytics and flow analysis. This will show that you can think on your feet and understand trader needs.
✨Communicate Complex Ideas Simply
Excellent interpersonal skills are key for this role. Practice explaining complex quantitative concepts in simple terms, as you’ll need to collaborate with various teams. Use examples from your past experiences to illustrate how you’ve successfully communicated technical information to non-technical stakeholders.
