12 of 12 Permanent Quantitative Investing Jobs

Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Operations Research … autonomy Opportunity to work closely with quantitative researchers and trading teams Exposure to complex technical challenges involving large-scale data and systematic investing Competitive compensation structure including substantial bonus potential Access to a highly experienced leadership team and exceptional engineering peers Long-term career growth within ...

research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton ...

Investment Manager client on an initial 6-month engagement. This role sits within a core engineering team at the centre of a highly quantitative investment environment, supporting the technology and data platforms that underpin systematic trading strategies and advanced research. You will be working in a fast-paced … maintain services primarily using Java and Python. Work across modern data and messaging technologies including Kafka, ArcticDB and MongoDB. Qualifications Degree in a quantitative/technical field (e.g. Computer Science, Mathematics, Engineering or Physics) 5+ years’ software engineering experience using Java or Python Strong Linux and Git knowledge ...

Software Engineer – Platform Storage London | Hybrid Ncounter is supporting a leading quantitative investment firm as it continues a major expansion of its infrastructure and research platform. With substantial investment being made into compute, storage and distributed systems engineering, this is an opportunity to join a team building ...

c. £350k Comp Package | Hybrid Working - 4 Days in Office] Role Overview We’re representing a high-calibre quantitative investment firm building a new security function alongside a completely refreshed technology environment. This is a rare opportunity to shape Detection & Response properly from day one, rather than inherit ...

help you succeed in this role: Deep client engagement and expectation management across project life cycles Strong interest in global capital markets and quantitative investments Strong analytical and organizational skills Ability to work in a fast-paced, globally structured, and team-based environment, as well as the ability ...

client, a leading global investment bank is scaling its Quantitative Investment Strategies trading platform. The opportunity is to significantly accelerate platform delivery. Multiple teams are working across the platform simultaneously : quant developers, platform engineers, infrastructure, IT and business and the goal is to make that collaboration more efficient ...

partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Senior Quant Software Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around … high impact and low ego. The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: Collaborate closely with ...

Java Jenkins Kubernetes Linux Machine Learning Maven Nexus OpenShift Python Spring Terraform Java EE More: We develop technological solutions for algorithmic trading and quantitative investing. Our mission is to merge data-driven research, advanced software engineering, and a deep understanding of global markets to build trading systems that … speculation. Our proprietary systems are designed to identify repeatable market patterns, optimize execution, and adapt to changing conditions in real time. By combining quantitative models, machine learning, and high-performance computing, we transform complex data into actionable insights. Our teams operate at the intersection of FinTech, research ...

Software Engineer – Distributed Market Data Systems A leading global quantitative investment firm is seeking a Software Engineer to join a newly established team building a next-generation market data platform. This is a rare opportunity to work on a greenfield project developing globally distributed, high-performance systems that … support real-time data processing and quantitative research at scale. What You'll Be Doing Designing and building cloud-native platforms for processing and distributing real-time data Developing high-throughput, low-latency distributed systems Architecting scalable infrastructure capable of handling large volumes of streaming data Collaborating closely ...

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across … Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry ...

leading quantitative investment firm in Greater London seeks a Quantitative Developer to design and implement proprietary systems. The ideal candidate has 5+ years in high-impact software engineering, strong Python skills, and a concise coding style. This role involves collaboration with researchers and managing deliverables ...