National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python Data Scientist (Quantitative Finance)

OTS Research
London
9 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist - Reigate

Senior Python \ Data Science Engineer

Senior Python Data Science Engineer

GCP Data Engineer - London - £75k +bonus

Data Science Lead

Senior Data Scientist

Python Data Scientist (Quantitative Finance) We are seeking a highly skilled and motivated Python Data Scientist to join our dynamic team with a minimum of 4 years of work experience. The ideal candidate will have extensive knowledge in quantitative finance, with a focus on FX or cryptocurrency trading. This position requires a strong foundation in Python programming and linear models, as well as proven experience in data mining. Key Responsibilities: - Collaborate with quantitative researchers to develop, tune, and refine trading models, ensuring optimal performance and accuracy. - Apply expertise in quantitative finance to analyse complex data sets and extract meaningful insights that can directly impact trading strategies. - Utilise Python to implement and maintain robust data analysis tools and algorithms. - Conduct extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets. - Develop and test linear and non-linear modelling techniques to improve predictive accuracy and model performance. - Prepare detailed analytics reports and communicate findings to stakeholders and team members to support data-driven decision-making. Requirements: - Proven experience as a Data Scientist with a strong background in Python programming. - Advanced knowledge in quantitative finance, particularly in FX or crypto trading. - Proficiency in linear models and their application in financial modelling. - Demonstrated experience in data mining and handling large, complex datasets. - Ability to work closely and effectively with quantitative researchers and other team members. - Strong analytical skills with a keen attention to detail. - Excellent communication and presentation skills. - This will be a remote position initially and then the candidate will be relocated to Dubai, UAE. Must be willing to relocate. Preferred Qualifications: - Advanced degree in Mathematics, Statistics, Computer Science, or a related field. - Experience with additional programming languages or analytical tools is a plus.

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.