Data Analyst — Data MarketPlace

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

Your Team Responsibilities

The Data Analyst works hands-on with the datasets that feed the MSCI Data platform. The role has two primary purposes. First, to perform crude, first-pass analysis on datasets before integration — assessing their basic commercial value and quality readiness — so the team can decide quickly and confidently whether a dataset is worth onboarding. Second, to act as a quick-response team that creates new datasets from MSCI internal data: extracting value, aggregating and deriving novel datasets, and authoring the first working version of the methodology before partnering with Technology to scale and automate it. This is exploratory, judgement-led work that sits ahead of the formal data pipeline; production-grade validation and automation are owned by the QA and engineering teams in Technology, with whom the Analyst works closely.

Your Key Responsibilities

Pre-integration value & quality assessment

• Perform crude, first-pass data analysis on external vendor datasets before integration, to assess their basic commercial value and quality readiness.

• Assess internal MSCI datasets for quality and readiness ahead of inclusion in the MarketPlace.

• Explore and profile datasets — coverage, frequency, history, schema and obvious quality issues — enough to support a fast onboarding decision.

• Document a concise value-and-quality readiness view per dataset, flagging the key strengths, gaps and risks.

• Validate the datasets already offered on the MarketPlace on an ongoing basis, confirming they remain accurate, current and as described.

Collaboration & promotion

• Work closely with the Data Scout to evaluate candidate external datasets early in the sourcing process, so commercial and quality views are joined up.

• Work with Applied Research to understand what makes a dataset valuable for backtesting and signal work, and feed that lens into assessments.

• Work with the Technology QA team, handing over assessed datasets and informing the automated validation checks they build and own.

• Contribute to the development and promotion of the MarketPlace by generating per-dataset analytics — summary statistics, coverage charts, illustrative use cases — for the marketing newsletter and the platform.

New dataset creation from internal data

• 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 (Index, Analytics, S&C, Private Assets) 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.

Your skills and experience that will help you excel

• 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).

About MSCI

What we offer you

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

• Flexible working arrangements, advanced technology, and collaborative workspaces.

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [e-mail] and indicate the specifics of the assistance needed. Please note, this e‑mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

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