About the job

Company DescriptionAt Cingulait, we''re not just building models—we''re pioneering a new era of AI-driven quantitative investing. Our proprietary tech explores alternative datasets using cutting-edge machine learning to uncover signals others miss.We act fast, integrating new insights into live portfolios to stay ahead of ever-shifting global markets.Role Description

Data Analyst– Part-Time (with Opportunity to Transition to Full-Time in Q2 2026) -LondonWe’re looking for a curious, inventive, and solution-driven Data Analyst who thrives at the intersection of data and markets. In this role, you’ll:Work directly with our Quant Portfolio Manager, shaping the pipelines that feed live strategies.Design and implement processes to capture, clean, and stream real-time market and alternative data.Turn raw numbers into actionable insights, powering performance analytics and portfolio decisions.Be a key link between cutting-edge research and real-world execution.This role is a launchpad into a full-time position by Q2 2026.If you’re excited by the challenge of turning messy data into sharp signals and blending finance with machine learning, you’ll fit right in.Qualifications

Must HaveProgramming: Strong Python skills

- Experience with managing Python ETL pipelines.Solid understanding of databases and data structures , including relational database principles and SQL.Familiarity with version control systems (Git) .Experience working with data : cleaning, transforming, and visualizing using libraries such as pandas, NumPy, matplotlib, or Plotly.Modelling : Experience in managing all stages of modelling (data cleaning, data pipelines, run predictive models).Experience : 2+ years as a Data Analyst/Data Engineer, Quant Researcher, or DeveloperEducation : STEM Master’s degree (or higher) from a reputable institution.Additional skills requiredTrading : Experience in the financial industry is a big plusCloud : Exposure to cloudPlatforms

(e.g., GCP, AWS, or Azure)Understanding

of APIs and experience fetching/processing data from external sources.Ideal candidate profile

Solution-driven person who thrives in a small-team environment.Innovative and driven, with a keen interest in quantitative finance.

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