Rapid Dataset Analyst for Pre-Integration & Prototyping

MSCI Inc; City of Westminster; Sur place; GBP 45 000 - 70 000; Plein temps

Résumé du poste

MSCI Inc. is seeking a Data Analyst to perform first-pass data analysis on external vendor datasets and internal MSCI data to assess value and quality before onboarding.

You will document concise readiness views for each dataset and collaborate with Data Scout, Applied Research, and Technology QA to shape scalable datasets for MarketPlace. This role involves pre-integration analytics, rapid dataset creation from internal data, and working with multiple teams to define and validate methodologies

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.
• 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).

Responsabilités

• Act as a quick-response team to explore MSCI internal data and rapidly extract value where there is a clear product or client opportunity.
• Aggregate, combine and derive new datasets from existing internal data, prototyping the output before any heavy engineering investment.
• Author the first working version of the methodology to aggregate and construct each new dataset - the reference definition that Technology then productionises.
• Work with the Research team and the relevant product heads to shape new datasets that have product relevance, settle the right methodology early, and ensure the output is useful to the teams who will build on it.
• Validate the prototype dataset and methodology, then hand over to Technology to scale, automate and operationalise.

Connaissances

Python

SQL

Pandas

Relational databases

Data cleaning

Data validation

Quality assurance

Exploratory Data Analysis

AI/LLM tools

Financial data concepts

Attention to detail

MSCI data familiarity

Snowflake

Databricks

GCP

Data pipelines

Backtesting

Description du poste

MSCI Inc. is seeking a Data Analyst to perform first-pass data analysis on external vendor datasets and internal MSCI data to assess value and quality before onboarding.

You will document concise readiness views for each dataset and collaborate with Data Scout, Applied Research, and Technology QA to shape scalable datasets for MarketPlace. This role involves pre-integration analytics, rapid dataset creation from internal data, and working with multiple teams to define and validate methodologies