Senior Business Analyst – Fixed Income Pricing and Analytics

Job Description:Job Title Senior Business Analyst – Fixed Income Pricing and Analytics

Location London

Corporate Title Vice President

You will play a key role in transforming the Rates and Credit Fixed Income technology landscape. As part of a multi-year modernisation programme, you'll help shape a next-generation pricing and analytics platform, translating trading needs into capabilities that improve pricing decisions, workflow efficiency and the trader experience.

Working closely with traders, quants, product owners and engineers, you'll connect deep domain knowledge with practical technical understanding. You'll challenge existing processes, define target workflows and turn complex requirements into clear, prioritised increments. This is a hands-on role combining analysis, stakeholder management and Agile delivery, with opportunities to apply AI-assisted tools to improve the quality and pace of your work.

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:

• 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

• Lead analysis of Rates and Credit pricing, quoting and analytics workflows, identifying opportunities to simplify processes and deliver measurable business value

• Build strong relationships across trading, quantitative analytics, technology and control functions, facilitating workshops, resolving competing priorities and securing agreement on scope and outcomes

• Map current and target workflows, data flows and business rules, defining clear user stories and acceptance criteria, including exception scenarios and non-functional requirements

• Partner with product owners and engineers to refine and prioritise the backlog, break complex changes into valuable increments and manage dependencies through Agile and Kanban practices

• Use data analysis and technical investigation to validate requirements and resolve ambiguity; work with QA and traders to define business acceptance scenarios, coordinate UAT and incorporate feedback

• Apply AI-assisted tools to research, requirements analysis and documentation, critically validating outputs and protecting sensitive information; support adoption and assess whether delivered capabilities achieve their intended

Your skills and experience

• Rates and Credit expertise: substantial front-office business analysis experience across both Rates and Credit, with a strong understanding of fixed income instruments, bond pricing, yield and spread measures, market data and risk sensitivities, and how traders use them in pricing and quoting decisions
• Stakeholder management: proven ability to build credibility with traders, quants and engineers, influence senior stakeholders, challenge constructively and reconcile competing needs. You communicate complex subjects clearly and drive decisions through to resolution
• Technical and analytical fluency: confidence using SQL to investigate data and working with APIs, event-driven services and data models. You can trace information across systems, discuss integration and performance requirements with engineers, and translate between business and technical perspectives
• Agile delivery and transformation: experience modernising complex trading platforms through iterative delivery. You write actionable stories and testable acceptance criteria, manage backlogs and dependencies, and use Kanban practices such as work-in-progress limits and flow metrics to improve delivery
• AI-assisted analysis and ownership: practical experience using generative AI or agentic tools to accelerate analysis, synthesis and documentation, with sound judgement about accuracy, confidentiality and limitations. You take ownership from problem discovery through acceptance and adoption, promoting effective analysis practices across the team.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

How we’ll support you

· Training and development to help you excel in your career

· Flexible working to assist you balance your personal priorities

· A culture of continuous learning to aid progression

· A range of flexible benefits that you can tailor to suit your needs

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 be named in The Times Top 50 Employers for Gender Equality and has been awarded a Proud Employer Trailblazer Status from Stonewall and named in their Top 100 Employers.

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. For more information about our recruitment process and available adjustments, please visit our Hiring Experience page.

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.