Quantitative Credit Strategist
Quantitative Credit Strategist

Quantitative Credit Strategist

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop risk and PNL systems, support trading challenges, and create pre-trade analytics.
  • Company: Deutsche Bank, a leading global bank with strong European roots.
  • Benefits: Competitive salary, 30 days holiday, private healthcare, and flexible benefits.
  • Why this job: Join a dynamic team on the trading floor and make an impact in finance.
  • Qualifications: Experience in investment banking, data analysis, and strong interpersonal skills.
  • Other info: Inclusive work environment with coaching and support from experts.

The predicted salary is between 36000 - 60000 £ per year.

Overview

Job Title Quantitative Credit Strategist

Location London

Corporate Title Associate/VP

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

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:

  • 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 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. Click here to see what we do.

Deutsche Bank in the UK is proud to have been named The Times Top 50 Employers for Gender Equality 2025 for six 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.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss how we can best support you. Alternatively, you can share your phone number, and a member of the team will be happy to call you to talk through your specific requirements.

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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Quantitative Credit Strategist employer: Deutsche Bank

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 competitive salaries, extensive holiday allowances, and a commitment to employee well-being through private healthcare and flexible benefits. The culture promotes continuous learning and growth, with access to expert coaching and a strong emphasis on diversity and inclusion, making it an ideal place for those seeking meaningful and rewarding careers in finance.
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Contact Detail:

Deutsche Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Credit Strategist

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Deutsche Bank on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since this role involves credit modeling and analytics, we should be ready to discuss our experience with data analysis and any relevant projects we've worked on.

✨Tip Number 3

Show off our passion for the industry! During interviews, let’s share our thoughts on current trends in credit markets and how we can leverage tech like machine learning to make an impact at Deutsche Bank.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team.

We think you need these skills to ace Quantitative Credit Strategist

Credit Markets Knowledge
Credit-Modeling Mathematics
Software Development
Data Onboarding
Data Cleaning
Data Curation
Data Analysis
Machine Learning
Natural Language Processing
Risk Management
Profit and Loss Systems
Pre-Trade Analytics
Interpersonal Skills
Collaboration
Reporting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Quantitative Credit Strategist role. Highlight your experience in investment banking, especially any front-office technical roles. We want to see how your skills align with the job description!

Showcase Your Skills: Don’t forget to showcase your skills in data analysis, machine learning, and natural language processing. Use specific examples from your past work to demonstrate how you've used these skills to solve real problems.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about this role and how you can contribute to the team. Keep it concise but impactful – we love a good story that connects your experience to our needs.

Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. Plus, you’ll find all the details you need about the role there!

How to prepare for a job interview at Deutsche Bank

✨Know Your Numbers

As a Quantitative Credit Strategist, you'll need to be comfortable with data and analytics. Brush up on your credit modeling mathematics and be ready to discuss how you've used data in previous roles. Prepare specific examples of how you've tackled challenges using quantitative methods.

✨Showcase Your Tech Skills

Since technology is a key differentiator for Deutsche Bank, make sure you highlight your experience with machine learning, natural language processing, and any relevant software development skills. Be prepared to discuss projects where you've implemented these technologies to solve real-world problems.

✨Understand the Trading Floor

Familiarise yourself with the dynamics of a trading floor environment. Understand how traders operate and what their needs are. This will help you articulate how you can provide effective desk support and develop solutions that meet their demands.

✨Communicate Clearly

Excellent interpersonal skills are crucial for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various teams. Consider doing mock interviews where you explain your past projects to someone without a technical background to refine your communication skills.

Quantitative Credit Strategist
Deutsche Bank

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