At a Glance
- Tasks: Develop and enhance analytics applications using Python and SQL for a leading investment bank.
- Company: Join a top global investment banking organisation with a focus on technology and analytics.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for extension and excellent career advancement opportunities.
- Why this job: Make an impact by automating reporting processes and supporting strategic tech initiatives.
- Qualifications: Strong Python and SQL skills, experience in data engineering, and a passion for analytics.
The predicted salary is between 50000 - 70000 £ per year.
A leading global investment banking organisation is seeking a Senior Python Analytics & Technology Engineer to support a Strategic Equity Solutions business. This role sits within a specialist analytics function focused on technology development, reporting automation, systems integration and data engineering. The successful candidate will work closely with business stakeholders and technology teams to build scalable analytics solutions, automate reporting processes and support strategic technology initiatives across the equities business.
Key Responsibilities
- Develop and enhance analytics applications using Python and SQL.
- Build automated data pipelines, ETL processes and reporting solutions.
- Implement production-grade monitoring, logging, testing and performance optimisation.
- Maintain code repositories, documentation and deployment processes.
Reporting & Analytics
- Develop and maintain management information and operational reporting.
- Deliver ad-hoc analysis and data insights to support business decision making.
- Automate manual reporting processes and improve data quality controls.
- Reconcile and validate data across multiple internal platforms.
Systems & Change Delivery
- Support technology enhancements, system integrations and workflow improvements.
- Gather business requirements and produce functional documentation.
- Coordinate testing activities including UAT, regression testing and defect management.
- Partner with technology teams to onboard new data sources, APIs and services.
Technical Must‑Haves
- Strong Python development (pandas, data engineering workflows, automated scripts, APIs).
- Advanced SQL (schema design, query optimisation, stored procedures).
- Experience deploying and maintaining applications in a production environment (CI/CD, job schedulers, monitoring).
- Ability to design robust ETL processes and ensure data integrity.
- Understanding of OTC Equity Derivatives.
- Working understanding of RWA, TCE, and capital usage concepts.
Project Management & Delivery
- Experience working with technology teams on system enhancements, integrations, or migrations.
- Ability to write clear requirements, test functionality, and track issues.
- Comfortable with iterative development and changing priorities.
Python Analytics & Technology Engineer – Equities in London employer: Deloitte - Recruitment
As a leading global investment banking organisation, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London-based team enjoys the benefits of a hybrid working model, competitive remuneration, and ample opportunities for professional growth within a fast-paced environment. Join us to be part of a forward-thinking company that values your contributions and supports your career development in the exciting field of equities technology.
StudySmarter Expert Advice🤫
We think this is how you could land Python Analytics & Technology Engineer – Equities in London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Python Analytics & Technology Engineer – Equities in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Deloitte - Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Deloitte - Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Deloitte - Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Deloitte - Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Deloitte - Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Deloitte - Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Deloitte - Recruitment.
