Economist

Fitch Group; City of Westminster; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading global analytics firm is seeking an Economist for a public sector client on an initial 4-month contract with hybrid working options. The ideal candidate will have expertise in panel data econometrics, productivity analysis, and strong coding skills in R or Python. Responsibilities include analyzing survey data and providing economic modeling insights. A degree in economics or a related field is required, with a PhD preferred. Competitive pay up to £700 per day, located in London.

Qualifications

• Proven expertise in panel data econometrics and interpreting longitudinal datasets.
• Ability to explain technical findings clearly.
• Experience in a policy-focused environment.

Responsibilities

• Analyze and interpret longitudinal panel survey data.
• Develop and critique econometric models.
• Communicate complex findings to non-technical audiences.

Skills

Econometric modeling

Panel data analysis

Causal inference

Time-series analysis

Productivity analysis

Strong coding in R and Python

Education

Degree in economics or quantitative discipline

PhD preferred or equivalent experience

Tools

Stata

R

Python

Job description

Managing Director – Corporate Tax

Business Function: Corporate Finance – Tax
Job Status: Permanent
Location: London
Reporting to: Senior Managing Director – Corporate Tax

About Tax Advisory at FTI
We are an independent, expert‑led tax practice that sits at the forefront of corporate tax solutions.

Economist – Public Sector Client (4‑month contract)

We are looking for an Economist for our public sector client on an initial 4‑month contract until the end of March 2026 (with the potential for extensions), paying up to £700 per day inside IR35. This role allows hybrid working with an expectation to attend the office as required by the project.

You will need proven expertise in panel data econometrics, productivity analysis, and interpreting longitudinal survey datasets.

Responsibilities

• Analysing and interpreting longitudinal panel survey data
• Fixed‑effects, time‑series, and cross‑sectional regression modelling
• Developing and critiquing econometric models
• Providing advice on productivity metrics and economic modelling approaches
• Communicating complex findings to non‑technical audiences
• Working with senior analysts in a policy‑focused environment

Qualifications

• Strong grounding in economic theory and empirical modelling
• Expertise in panel data econometrics, causal inference, and time‑series analysis
• Proficiency in Stata, R or Python
• Ability to explain technical findings clearly
• Degree in economics or a quantitative discipline (PhD preferred or equivalent experience)

Desirable

• Productivity analysis and growth decomposition
• Government or private sector microeconomics experience
• Familiarity with digital or data policy
• Strong coding experience in R and Python

Interested? Please apply below.

Economist, Panel Data, Econometrics, Productivity, Microeconomics, Policy, Stata, R, Python, Causal Inference, Time Series, Public Sector. TPBN1_UKTJ

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