Data Business Analyst - SQL - Front Office

City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst / Business Analyst

Senior Data Analyst / Business Analyst

Data Specialist Technical Insurance London £550d Geo Spatial

Systems Analyst Technical Insurance London £550d Geo Spatial

CRM and Business Analyst

Engagement Lead, AI Solutions [MBB] UAE Based

Business Data Analyst - SQL - Front Office
Daily Rate: From £500 to £580 (inside IR35 via umbrella)
Contract Initial End Date: 31st December 2025
Location: Canary Wharf, London (Just a 4-minute walk from Canary Wharf train station) (3 days onsite)

About Us:
Our client is a leading organisation in the financial sector, committed to leveraging data for strategic decisions. They are seeking an experienced Business Data Analyst to join their dynamic team in Canary Wharf. This role offers the opportunity to work in a hybrid environment, allowing you to maintain a balance between in-office collaboration and remote flexibility.

Role Overview:
As a Business Data Analyst, you will play a crucial role in analysing transaction and market risk data to support the market risk limit review process. Your insights will aid in decision-making and will contribute significantly to the organisation's strategic goals.

Key Responsibilities:

Analyse transaction and market risk data to support the market risk limit review process.
Perform drill downs and queries on data using Business Intelligence tools and SQL, identifying key issues and themes.
Proactively manage dependencies, risks, exceptions, and issues to ensure smooth operations.
Prepare and present materials for quarterly limit reviews with Desk Heads and Market Risk Managers.
Serve as a subject matter expert for internal queries related to your workstream.
Collaborate with technology teams to design and implement process enhancements.
Partner with stakeholders across various functions, including Business, Risk, Audit, and Compliance.
Assist in project management to drive delivery of key changes across Volcker and Price Risk projects.

Qualifications:

Minimum of 5 years experience in risk and control, data analysis, and project management.
Excellent communication skills, with the ability to negotiate at senior levels; external communication may be required.
Knowledge of the Volcker Rule and Basel/FRTB is a plus.
Project management experience in a Markets Front Office environment preferred.
Familiarity with market risk, global markets trading products, and services, including Fixed Income, Equity, Currencies & Commodities, and/or Securities Services.
Understanding of Front Office trading processes and trade lifecycle within a large bank/dealer setting.

Skills and Competencies:

Strong analytical and problem-solving skills with a keen eye for detail.
Proficient in SQL; knowledge of Python, Jira, and Tableau is beneficial.
Highly organised, capable of managing multiple requests and prioritising effectively.
Strong interpersonal skills, with the ability to motivate and mobilise teams in a collaborative environment.
Excellent verbal and written communication skills.
Proficient in MS Office suite; knowledge of internal systems is a plus.

Education:

Bachelor's degree or equivalent experience in a relevant field.

If you are a skilled Business Data Analyst looking for your next challenge and are excited about the opportunity to impact key projects, we encourage you to apply. Join our client in shaping the future of financial data analytics!

Apply Now!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.