Lead Data Analyst | Commodities & Energy Trading - Front office | Up to £115k + Bonus, Benefits[...]

VirtueTech Recruitment Group; England; On-site; GBP 103,500 - 126,500; Full time

Benefits offered by this job

Bonus package

Benefits package

Job summary

A global asset manager in the UK is seeking a Lead Data Analyst to shape data strategy and enhance decision-making in trading. With a background in financial services, the ideal candidate will have strong leadership skills and experience in data modelling, quality assurance, and BI tools. This role offers a salary up to £115k plus benefits and requires a hybrid work model, spending 3 days per week in the office.

Qualifications

• Proven Data Analyst experience of at least 5 years in a Financial Services environment.
• Experience in data modelling, cleansing, and enrichment.
• Familiarity with data warehousing and analytical data structures.

Responsibilities

• Oversee the design and implementation of data capabilities.
• Migrate legacy data warehouse to the strategic data platform.
• Analyze risk data sourcing and maintain data systems.

Skills

Data Analyst experience

Data modelling

Data quality assurance

Creating BI models

SQL Server

Agile methodologies

Tools

Power BI

SQL Server Database

Databricks

SSIS

Jira Software

Job description

Lead Data Analyst | Commodities & Energy Trading - Front office | Up to £115k + Bonus, Benefits | Hybrid LDN

Lead Data Analyst A leading global asset manager, responsible for assets under management across energy, precious metals, agriculture, FX, absolute return, multi-asset and specialist investment strategies. Is looking to add to their Data team, by hiring a Lead Data Analyst, coming from a financial services / Trading House background with knowledge around Risk, regulations, Compliance, Trade Surveillance etc...

The Lead Data Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Investment Management House make use of their data to help make investment and risk decisions.

Lead Data Analyst role offers a unique opportunity to lead and shape the organisation’s data strategy, processes, and governance. As a hands‑on leader, you will mentor team members while overseeing the design and implementation of data capabilities that drive data‑driven decision‑making and transformative business outcomes. This role requires good leadership, technical expertise, and a collaborative mindset to align data initiatives with business objectives and ensure the team delivers high‑quality results.

As a Lead Data analyst you will be responsible for proactively overseeing the design and implementation of data capabilities to create P&L impacting value for the Trading business. Specifically within compliance, understanding the data needed from the business to make decisions, bridging the gap between the Business & Data technical experts.

💸 Salary – up to £115,000 + Bonus and Benefits package.

📍 Work model – Hybrid: 3 days per week in the office, close to major tube stations, including Liverpool Street.

Key Responsibilities

• Analysing Risk data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems.
• The migration of the legacy data warehouse to the strategic data platform.
• Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team.
• Analysis of normalised transactional data and analytic data sources.
• Analysis of semi-structured and file-based data extracts.
• Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models.

Essential Skills

• Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas.
• Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation.
• Familiarity with Data warehousing and analytical data structures.
• Data quality assurance, validation and linkage.
• Experience creating BI models and dashboards, ideally in Power BI.
• Software development methodologies (Sprints/Agile) and project management software (Jira Software).
• SQL Server Database.
• Databricks (or Alternative Modern Data Platform such as Snowflake).
• Knowledge of Orchestration Tools and processes (e.g SSIS, ODI, Informatica, Data Factory).

Interest or Inquiries

If you are interested in this Data Analyst role, please reply with your latest CV or send it to [e-mail].