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Job Details

Deutsche Bank logo
Bulge Bracket Investment Banks

Credit Quantitative Strategist

at Deutsche Bank

ExperiencedNo visa sponsorship

Posted 14 days ago

No clicks

Join Deutsche Bank's quantitative credit strats team in London to deliver risk, P&L and pre-trade analytics for bond trading and sales. You will build production-quality software and analytics, respond rapidly to desk needs, and apply techniques including ML/NLP to large-scale datasets. The role partners closely with European Flow Credit and Emerging Markets trading, providing modelling expertise such as portfolio optimisation, flow matching and trade ranking. Candidates should have strong programming skills (e.g. C++, Python, kdb, JavaScript), data experience and 2+ years in a front-office technical/quant role.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

Credit Quantitative Strategist

Job ID:R0408304 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-01-21
Location: London

Position Overview

Job Title Credit Quantitative Strategist
Location London
Corporate Title Associate

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 quantitative credit Strats 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 (PNL) and pre-trade flow and relative value analytics solutions to bond trading and sales. You will be a highly motivated self-starter and all-rounder 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. You will be based on the trading floor and required to rapidly react 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 risk and PNL systems
  • Providing desk support to trading on live challenges and gathering requirements for potential solutions efficiently
  • Implementing flow analysis management information systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability)
  • Development of pre-trade analytics to support in trading decisions (e.g. computing trade relative value metrics and strategy backtesting)
  • Provide quantitative modelling expertise to trading (e.g. portfolio optimization, flow matching, trade prospect ranking)

Your skills and experience

  • 2+ years of experience in a front office technical/quant role within investment banking
  • Proficiency in programming preferably C++/Python/kdb/java/javascript and in working with standard Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.)
  • Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
  • First degree in Maths/Natural Science/Computer Science/Engineering, PhD or Masters desirable.
  • Some experience of machine learning and natural language processing a bonus
  • 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 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.

Job Details

Deutsche Bank logo
Bulge Bracket Investment Banks

14 days ago

clicks

Credit Quantitative Strategist

at Deutsche Bank

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United Kingdom

Join Deutsche Bank's quantitative credit strats team in London to deliver risk, P&L and pre-trade analytics for bond trading and sales. You will build production-quality software and analytics, respond rapidly to desk needs, and apply techniques including ML/NLP to large-scale datasets. The role partners closely with European Flow Credit and Emerging Markets trading, providing modelling expertise such as portfolio optimisation, flow matching and trade ranking. Candidates should have strong programming skills (e.g. C++, Python, kdb, JavaScript), data experience and 2+ years in a front-office technical/quant role.

Full Job Description

Credit Quantitative Strategist

Job ID:R0408304 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed: 2026-01-21
Location: London

Position Overview

Job Title Credit Quantitative Strategist
Location London
Corporate Title Associate

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 quantitative credit Strats 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 (PNL) and pre-trade flow and relative value analytics solutions to bond trading and sales. You will be a highly motivated self-starter and all-rounder 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. You will be based on the trading floor and required to rapidly react 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 risk and PNL systems
  • Providing desk support to trading on live challenges and gathering requirements for potential solutions efficiently
  • Implementing flow analysis management information systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability)
  • Development of pre-trade analytics to support in trading decisions (e.g. computing trade relative value metrics and strategy backtesting)
  • Provide quantitative modelling expertise to trading (e.g. portfolio optimization, flow matching, trade prospect ranking)

Your skills and experience

  • 2+ years of experience in a front office technical/quant role within investment banking
  • Proficiency in programming preferably C++/Python/kdb/java/javascript and in working with standard Software Development Lifecycle (SDLC) tools in a collaborative environment (git/bitbucket/JIRA etc.)
  • Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
  • First degree in Maths/Natural Science/Computer Science/Engineering, PhD or Masters desirable.
  • Some experience of machine learning and natural language processing a bonus
  • 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 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.