Junior Quantitative Researcher

Platform Recruitment
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst

Junior Data Analyst

Junior Data Engineer

Junior / Trainee Data Analyst

Junior IT Support Engineer & Data Analyst

Junior Data Analyst - Power BI / SQL

Junior Quantitative Researcher

Title: Junior Quantitative Researcher


Company: Proprietary HFT


Location: Cambridge


Compensation: Up to £300,000


A proprietary trading firm in Cambridge, specialising in the research and development of ultra-low-latency automated trading strategies, is looking for a Quantitative Researcher with a demonstrable background of iterating rapidly on complex mathematical experiments.


It is important that you have been involved in fast-paced research projects involving rapid iteration, as this dynamic role will require you to rapidly prototype – and ultimately move into production brand new models, often from scratch.


Role

  • You will build upon existing models as well as design new trading algorithms to increase profitability
  • Work closely with a close-knit team of Traders, Engineers and Computer Scientists
  • This is an early-stage hire for the team. Much of your work will be completely greenfield. You will have a very high-impact position in the team, and will be financially rewarded proportionally to your success

About you

  • Highly numerate
  • Comfortable with C++ (must)
  • Experience with Python
  • Work well to tight deadlines
  • Top grades
  • Experience managing experiments/mathematical or statistical research involving rapid iteration.

Full details are available. Please don't hesitate to get in touch


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.