Quantitative Analyst (Client Solutions)

Location: London, UK (Canary Wharf); on-site

Company

hirify.global is a financial information and software company building data products for global capital markets using elastic cloud infrastructure and agentic AI systems.

What you will do

• Help systematic clients translate event-driven datasets into portfolio construction, backtesting, signal generation, and tradeable strategies.
• Act as a technical contact for quantitative clients on data quality, methodology, coverage, and dataset usage.
• Write research articles, data notes, and worked examples for technical audiences.
• Build reproducible analyses and examples in Python and Pandas using Jupyter notebooks.
• Investigate data-related client issues with research and engineering teams.
• Share client feedback with product and research teams to inform priorities.

Requirements

• Strong working proficiency in Python, particularly Pandas, with hands-on data science project experience.
• Bachelor's or Master's degree in a STEM subject, preferably Mathematics, Physics, Engineering, Economics, or Finance.
• Quantitative foundation developed through study or work experience.
• Genuine interest in finance and capital markets with the ability to learn new concepts quickly.
• Excellent written communication and the ability to explain technical results clearly and produce publishable research.
• Meticulous attention to detail and sound judgment under time pressure or with incomplete information.

Nice to have

• Experience in quantitative finance through sales, trading, or research.
• Familiarity with index methodologies and passive fund mechanics.
• GitHub, version control, backtesting, or research framework experience.
• SQL and experience navigating large datasets across platforms.
• Client-facing, research, data science, or sales-engineering experience at a financial data or trading firm.

Culture & Benefits

• Immediate start in a full-time, on-site role.
• Real responsibility from the beginning of the career.
• Direct engagement with quantitative desks at sophisticated financial institutions.
• Work in a fast-moving environment emphasizing ownership, rigour, and integrity.