Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Analyst/Algo

Tothemoon
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Lead Research Data Scientist | Fraud Detection in Market Research

Senior Data Scientist

Sports Biomechanics Data Scientist

Senior Data Scientist

Senior Data Scientist

About Tothemoon Tothemoon is a user-centric, multiservice digital assets trading platform. At Tothemoon, we prioritize what matters most in finance: reliability. Whether it’s buying, selling, exchanging, or investing in cryptocurrencies, you can trust us to protect your financial interests and propel you towards a prosperous future. Join a rapidly growing community of users who choose Tothemoon for their digital transactions. About the role: Quantitative Analyst / Algo We’re on a mission to build the future of trading in DeFi by creating AI-driven systems that trade autonomously and scale with the market, reducing human involvement. Machine learning will be at the heart of our trading strategies, pushing the boundaries of quantitative research and providing smarter, more scalable solutions. We’re looking for an experienced Quantitative Researcher with a proven track record in DeFi—someone who has worked beyond arbitrage, yield farming, and liquidity pools. We want a quant who can bring new, innovative strategies to the table and help shape our AI-driven trading systems. In this role, you’ll leverage your expertise to create novel quantitative models and collaborate with our ML Engineers & ML Research Scientist to integrate them into our trading strategies. You’ll help drive the evolution of autonomous AI agents that adapt and make decisions in real-time, optimizing performance in DeFi markets. If you’ve designed advanced trading strategies in DeFi and are excited about AI-driven algorithmic trading, this role offers a unique opportunity to make a tangible impact. Duties and responsibilities Data mining and analysis from different sources, development and optimization of mathematical models based on time series structures. Perform analytical research in DeFi realm Statistical hypotheses testing and processing ad-hoc requests. Visualization and interpretation of the research results. Assessment with internal data processing and reporting. Find anomalies and proposals for their elimination. Qualifications BSc in STEM subjects - Maths, Statistics, Physics or Computer Science preferred. Proficiency in SQL and data manipulation of large data sets is a must. Good knowledge and deep understanding of statistical analysis, hypothesis testing, probability analysis, linear algebra. Familia with base ML approaches and techniques. Experience with time series analysis, feature engineering, interpolation / extrapolation, dimension reduction etc. Knowledge of financial markets microstructure and trading environment. Programming experience in Python / R /Julia. Familia with visualization tools like Tableau, MS BI, Grafana, Plotly, Shiny etc. Extensive experience deploying algorithmic strategies on DEX (bonus points for leveraging ML, trade batching, gas token mint within the same initiatives) is a MUST Terms and benefits Competitive salary based on qualifications and experience; Truly flexible schedule; Paid holiday; Continuous professional development; We offer competitive compensation with the possibility of profit-sharing based on the success of your strategies. As a key member of our team, you’ll play a central role in shaping the future of our AI-driven trading systems, with the opportunity to share in the fund’s growth. We at Tothemoon stand for equal opportunities, fairness and diversity. Therefore, the selection of candidates takes place regardless of race, nationality, gender, sexual orientation, religion, age, civil and marital status, and health condition. So, evaluate only your professional knowledge and experience, and apply. Powered by JazzHR

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.