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

Apply Now

Quantitative Developer - Trading Algorithms (Basé à London)

Jobleads
Greater London
5 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer (C#) - Up to 160k + Exceptional Bonus - Elite FinTech Firm- London - Hybrid Working

Quantitative Developer - eFX (Java)

Quantitative Developer - (Python | Equities | Backtesting) Key Skills: Python, Equities, Backtesting

Quantitative Developer - Trading Algorithms

Join to apply for theQuantitative Developer - Trading Algorithmsrole atMillennium

Quantitative Developer - Trading Algorithms

Join to apply for theQuantitative Developer - Trading Algorithmsrole atMillennium

Job Function Summary

The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis.

We are seeking a highly driven, results-oriented Senior Quantitative Developer to with a strong background in building trading algorithms and a deep understanding of market microstructure and execution strategies to build a greenfield internal algorithmic trading platform This role requires a combination of technical expertise, industry knowledge, and leadership skills to develop and optimize trading algorithms tailored to the businesses’ trading objectives

Principal Responsibilities

  • Algorithm Development: Developing custom trading algorithms with the goal tailored execution outcomes that implement our portfolio optimization approach. Developing a framework that both relies on internal signals as well as facilitates its use by broader set of teams with their own signals, either independently or collaboratively.
  • Simulation: Develop a framework of simulators that use market data and trade history (or models) to evaluate the efficacy of algorithmic logic changes.
  • Collaboration with Quant Analysts: Partner with quantitative research analysts to productionize market microstructure and short-term signal models.
  • Performance Evaluation: Develop execution analysis reporting with appropriate benchmarks to evaluate the performance of custom algorithms.
  • Monitoring Tools: Develop intraday and post-trade monitoring tools to monitor and troubleshoot algorithm performance.

Qualifications/Skills Required

  • Experience: 10+ years of relevant experience in the trading and finance industry.
  • Market Microstructure Expertise: Domain expert in the market microstructure of cash equities. Knowledge of liquid futures market structure is a bonus.
  • Development Skills: Significant hands-on development experience in event-driven, real-time trading processes. Proficiency in C++ is preferred. If using Java, must demonstrate techniques that maximize runtime performance; proficiency with techniques that cover at best-in-class software-based latency; experience with FPGA a plus but not required.
  • Trade & Market Data: Reasonable amount of experience with understanding and coding trade and market data.
  • Leadership: Experience as a hands-on development lead, mentoring and guiding junior developers.
  • Education: Bachelor's or Master's degree in CS, Electrical & Electronic Eng, Biochem, applied math or statistics
  • Technical Skills: Strong programming skills in C++ or Java, with a focus on event-driven real-time trading processes.
  • Analytical Skills: Excellent quantitative and analytical skills, with the ability to interpret complex data and develop actionable insights.
  • Communication: Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Problem-Solving: Proven ability to solve complex problems and think critically in high-pressure situations.
  • Team Player: Ability to work effectively in a team-oriented environment, collaborating with cross-functional teams.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionFinance and Sales
  • IndustriesInvestment Management

Referrals increase your chances of interviewing at Millennium by 2x

Get notified about new Quantitative Developer jobs inLondon, England, United Kingdom.

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 10 months ago

Quantitative Researcher (Machine Learning)

London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 day ago

Quant Developer - shape systematic trading

London, England, United Kingdom 3 days ago

Quantitative Developer - Electronic Trading

London, England, United Kingdom 5 months ago

Greater London, England, United Kingdom 1 week ago

Quantitative Developer, Systematic Equities

Greater London, England, United Kingdom 3 weeks ago

Quantitative Developer (HFT - New Desk - Not Tower) (London)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 hour ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 5 days ago

City Of London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £180,000 + Bonus + PackageQuantitative Researcher - Systematic Equities

London, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.