Data Analyst, SQL​/Python | Investment Management - Trading Platform | Hybrid

Overview

Data Analyst, SQL/Python | Investment Management - Trading Platform | London, Hybrid | up to £90k + Bonus, Benefits

A leading global asset manager, responsible for assets under management across liability driven investment (LDI), cashflow-driven investing (CDI) and longevity hedging, currency management, fixed income, absolute return, multi-asset and specialist investment strategies. The firm is looking to add to their Data team by hiring a Data Analyst from a financial services / trading house background with knowledge around risk, regulations, compliance, trade surveillance, etc.

The 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.

Salary: up to £90,000 + Bonus and Benefits. Hybrid model: 3 days per week in the office, close to major tube stations including Liverpool Street.

• As a Data Analyst you will be responsible for proactively managing aspects of the data acquisition and commercial lifecycle to create P&L impacting value for the investment business, specifically within compliance, understanding the data needed from the business to make decisions, bridging the gap between the Business & Data technical experts.
• Migration of legacy data warehouse to a strategic data platform.
• Identify, collect and migrate data to and from a range of systems into the central Data Platform, working closely with the Data Management Team.
• Analyse normalised transactional data and analytic data sources.
• Analyse semi-structured and file-based data extracts.
• Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models.

• Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with 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)
• Power BI Development including the data model, DAX, and visualisations

If you are interested in this Data Analyst role, please reply with your latest CV or send it to shabana

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Analyst
• Industries:
  Information Technology & Services and IT System Data Services

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