At a Glance
- Tasks: Lead the development of AI-driven solutions in a fast-paced trading analytics team.
- Company: Join UBS, a global leader in wealth management and investment banking.
- Benefits: Enjoy flexible working options, career growth, and a supportive team environment.
- Other info: Collaborative culture focused on diversity and inclusion.
- Why this job: Make a real impact by engineering innovative solutions in automated trading.
- Qualifications: 8+ years in data engineering with strong Python and cloud experience.
The predicted salary is between 75600 - 92400 £ per year.
- Are you excited by the prospect of engineering solutions in Credit Principal Algo Trading team ? Are you passionate about building and delivering AI solutions?
- We are seeking a talented and self-driven candidate to join and lead our Credit Principal Algo Credit Algo Data team within UBS Global Markets
- This is a fast paced and collaborative team that are responsible for the development and enhancement of our growing trading analytics platform
Your role
- Are you excited by the prospect of engineering solutions in Credit Principal Algo Trading team ? Are you passionate about building and delivering AI solutions?
- We are seeking a talented and self-driven candidate to join and lead our Credit Principal Algo Credit Algo Data team within UBS Global Markets
- This is a fast paced and collaborative team that are responsible for the development and enhancement of our growing trading analytics platform
We’re looking for a Credit Principal Algo Data lead to
- Participate in the design, development, of our data platform
- Play a key role in designing and implementing the next generation of platform, partnering closely with Algo Quant Trading, Trading, and Sales from idea generation through to production launch
- Build and maintain strong working relationships with Algo Quant Trading, Trading, Quant, Sales, IT, and Risk partners in London and across regions
- Job Type
- Full Time
- Job Reference #
- City
- London
- Your team
- A highly technical and innovative team leading automated trading in e Credit
- Focused on maximising automation and performance in order to drive e Trading revenues
- Operating in a highly agile manner, releasing to production multiple times per day
- The team is known for being collaborative and diverse, with a mandate to deliver meaningful change
- Your expertise
- 8+ years of hands‑on data engineering in production environments, with strong, idiomatic Python used for reliable, well‑tested systems (not exploratory notebooks).
- Design and operation of large‑scale ETL/ELT pipelines, including orchestration (Airflow, Prefect, or similar) and reliability patterns such as retries, backfills, and exactly‑once semantics.
- Deep experience with Azure, including AKS, Helm, Event Hub, observability tools (e. g. Log Analytics) and infrastructure‑as‑code (e. g. Terraform).
- Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised analytical query execution using Duck DB or Apache Spark.
- Production‑grade relational database expertise, particularly Postgre SQL (query tuning, indexing, partitioning, replication, and schema design across OLTP and analytics).
- Strong KDB experience, covering key concepts such as tp/ctp/rdb/hdb and differences between real‑time vs historical queries and usage of gateways.
- Containerised data workloads using Docker and Kubernetes, with reproducible, environment‑agnostic deployment of data infrastructure.
- Analytical data modelling expertise, including dimensional models or data vaults, schema evolution, slowly changing dimensions, and downstream impact analysis.
- Strong experience managing and troubleshooting environments based on visualization and data analytics technologies such as Jupyter Hub, Power BI, Streamlit and Marimo.
- Batch and streaming processing proficiency, including late data handling, watermarking, backfills, and explicit throughput vs latency trade‑offs.
- Production data reliability and observability mindset, covering lineage, data quality checks, SLAs, CI/CD for data pipelines, and close collaboration with quants, risk managers, and traders to deliver trustworthy data products.
- 2+ years of experience in Java, covering react‑based applications.
- Experience delivering business‑facing solutions enhanced by AI and using AI assisted development (including prompt driven workflows and MCP servers) to reduce context switching and accelerate reliable delivery.
- You’re curious to explore how AI can improve how we build, deliver, and optimise workflows.
You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
About Us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland.
We also provide diversified asset management solutions and focused investment banking capabilities.
Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone.
That’s why we place collaboration at the heart of everything we do.
Because together, we’re more than ourselves.
Want to find out more?
Visit ubs. com/careers.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success.
We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible.
Our inclusive culture brings out the best in our employees, wherever they are on their career journey.
And we use artificial intelligence (AI) to work smarter and more efficiently.
We also recognize that great work is never done alone.
That’s why collaboration is at the heart of everything we do.
Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
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Credit Principal Algo Data Lead in London employer: UBS
UBS is an excellent employer for a FX Quantitative Analyst in London, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive professional development opportunities and the chance to engage with diverse stakeholders, ensuring meaningful contributions to high-impact projects in the fast-paced world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Principal Algo Data Lead in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like UBS. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Credit Principal Algo Data Lead in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to UBS.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on UBS's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at UBS
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with UBS.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at UBS will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former UBS employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
