Senior Data Scientist, Financial Markets Analytics — Hybrid

Citi; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

27 days annual leave

Discretional annual bonus

Private Medical Care & Life Insurance

Employee Assistance Program

Pension Plan

Parental Leave

Employee discounts

Learning & development resources

Job summary

Citi Markets in London is seeking a data analytics professional to translate complex data into actionable business insights. You will work across desks and partners to drive informed decision-making and optimise data quality through cross-platform analysis.

The role requires 5–8+ years of experience, advanced SQL and Python skills, and a strong numerical background. It offers a hybrid work model with competitive benefits and growth opportunities.

Qualifications

• 5–8+ years of experience in data analytics within Financial Markets.
• Advanced SQL and Python skills are essential.
• Strong analytical, quantitative and mathematical abilities.
• Collaborate across teams and communicate complex data requirements.
• Undergraduate degree or higher in a numerate discipline.

Responsibilities

• Provide data-driven analysis to product desks and partners to support decisions.
• Conduct strategic data analysis, identify trends, and translate into actions.
• Analyze data across platforms to identify optimization opportunities and data quality improvements.
• Collaborate with users to resolve system/process issues and recommend solutions.
• Act as liaison between stakeholders and Technology with clear communication.
• Mentor and lead junior quant professionals, guiding methodology and reviews.

Skills

SQL

Python

Data analytics

Stakeholder management

Mentoring

Education

Bachelor's degree

Masters degree

Job description

Citi Markets in London is seeking a data analytics professional to translate complex data into actionable business insights. You will work across desks and partners to drive informed decision-making and optimise data quality through cross-platform analysis.

The role requires 5–8+ years of experience, advanced SQL and Python skills, and a strong numerical background. It offers a hybrid work model with competitive benefits and growth opportunities.