Data Analyst: Fast-Track Dataset Vetting & Prototyping

DataAnalystJobs; City Of London; On-site; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work

Learning & development

Inclusive culture

Job summary

MSCI is seeking a Data Analyst to work hands-on with datasets feeding the MSCI Data platform, performing initial analyses to judge value and readiness for onboarding.

You will profile external and internal datasets, collaborate with Data Scout, Applied Research, and Technology QA, and help craft new datasets from internal data for rapid prototyping and eventual scale. Strong Python/SQL skills and finance domain knowledge are essential.

Qualifications

• 3–5+ years in a data analyst, data science or quantitative data role, ideally within financial data or asset management.
• Strong Python and SQL skills; comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases).
• Demonstrated experience in data cleaning, validation and quality assurance.
• Strong exploratory data analysis skills — able to quickly make sense of an unfamiliar dataset and form a view on its value and quality.
• Comfortable using AI / LLM tools to speed up exploration and profiling (the production validation automation is owned by Technology QA, but familiarity with these tools is a plus).
• Solid grounding in financial data concepts — instruments, identifiers, corporate actions, time series and point-in-time data.
• Detail-oriented, with the judgement to spot when data ’looks wrong’ and the rigour to prove it.
• Familiarity with MSCI data (Barra factor / risk models, indexes, ESG & climate) or comparable provider datasets (preferred).
• Experience with cloud data platforms (e.g. Snowflake, Databricks, GCP) and data-pipeline tooling (preferred).
• Exposure to backtesting or signal research on financial datasets (preferred).

Responsibilities

• Pre-integration value & quality assessment – crude data analysis on external vendor datasets to assess value and readiness.
• Assess internal MSCI datasets for quality and readiness ahead of inclusion in the MarketPlace.
• Explore and profile datasets — coverage, frequency, history, schema and quality issues to support onboarding decisions.
• Document a concise value-and-quality readiness view per dataset identifying strengths, gaps and risks.
• Validate the datasets already offered on the MarketPlace on an ongoing basis.
• Collaboration & promotion – work with the Data Scout to ensure commercial and quality views align.
• Coordinate with Applied Research to understand data value for backtesting and signal work.
• Liaise with Technology QA to hand over assessed datasets and inform automated checks.
• Contribute per-dataset analytics for marketing newsletters and platform.
• New dataset creation from internal data – rapidly extract value from MSCI internal data.
• Aggregate, combine and prototype new datasets from existing data; craft the first methodology version.
• Shape new datasets with Research and product heads; ensure usefulness for future builders.
• Validate prototypes and hand over to Technology to scale.

Skills

Python

SQL

EDA

Data cleaning

AI/LLM tools

Financial data concepts

Cloud platforms

Databricks

Snowflake

Education

Bachelor's degree in a quantitative field

Tools

Pandas

Relational databases

Job description

MSCI is seeking a Data Analyst to work hands-on with datasets feeding the MSCI Data platform, performing initial analyses to judge value and readiness for onboarding.

You will profile external and internal datasets, collaborate with Data Scout, Applied Research, and Technology QA, and help craft new datasets from internal data for rapid prototyping and eventual scale. Strong Python/SQL skills and finance domain knowledge are essential.