Requirements: You have a strong record of academic achievement, and have studied to PhD level at an Oxbridge or Russell Group university - Mathematics, Statistics, Physics or closely related discipline preferred You have a keen interest in Trading and global financial markets, with commercial acumen You have an advanced understanding of more »
low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth career progression. For more »
order to deliver best in class data science services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in data science, analytics, or a related field, with the ability to deliver hands on projects as more »
of your work on the business. This will be US equities intraday trading. Essential Skills: Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.). Programming experience in one major language (C++, C#, Python etc.). Alpha researcher from an equities/stat-arb background more »
exposure to a number of different complex platforms across the business, within engineering. What you need BSc degree or higher in Computer Science, Maths, Physics or a STEM-related subject 2+ years of industry experience with strong exposure to .Net or C# Knowledge of cloud tools such as AWS, Docker more »
An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Previous experience in a startup or small team environment more »
trading performance. Investigate and implement new trading products and strategies. Qualifications: Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on options. Proven track record of designing, implementing, and optimizing algorithmic more »
and monitoring of the strategies you develop The Candidate Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics Ideally 2 years + experience in a quantitative role, ideally focused on systematic trading Programming proficiency with at least one major programming or scripting language more »
An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Experience of working with GPUs or dedicated machine learning accelerators Knowledge of more »
An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Excellent Python skills Previous experience in a startup or small team environment more »
An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 7+ years of industry experience You may also have: Knowledge of machine learning techniques and technologies Previous experience in a startup more »
analysts and portfolio managers to effectively support and optimize their potential for generating superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to more »
strategic CRM aims. Skills and Experience Required Educated to degree level in a technical subject; Engineering, Machine Learning, AI, Computer Science, Mathematics, Statistics, Economics, Physics, Chemistry Proven experience in a Data Engineering role within a CRM environment Experience in a cloud-based environment with GCP is ESSENTIAL Experience with a more »
class exposure (commos/FX etc.) beneficial but not essential. Master’s Degree or PhD in a quantitative field (such as Mathematics, Computer Science, Physics, Engineering or similar) Strong C++ skills (familiarity with C++17/20 is a plus!), or experience working in alternative languages (Slang/Scala etc.) depending more »
/Formal Education) Graduated in the last 12 months The successful candidate is likely to be educated to degree level in Computer Science, Mathematics, Physics, Engineering, or similar highly quantitative discipline. Expected to or have achieved a minimum 2.1 UK bachelors degree (or equivalent) Some business knowledge from a previous more »
chance to do so before. Skills and experience required: Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science). An advanced user of SQL with the ability to code from scratch. Exposure to data visualisation tools and building more »
attitude required to develop a business. Excellent P&L track record. The successful candidate is likely to be educated to degree level in Mathematics, Physics, Engineering, Econometrics, or similar highly quantitative discipline. more »
to the key stakeholders and management QUALIFICATIONS MRM considers candidates of all degree types, with preference for those in quantitative fields such as math, physics, engineering, computer science, or financial engineering. For certain positions, advanced degrees (eg, PhD, MFE) may be required. Excellent analytical, quantitative, interpersonal, and organizational skills. Team more »
hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS A degree in Business, Engineering, Supply Chain, Transportation, Mathematics, Physics or other technical field Experience of Supply Chain/Transportation/Project Management/Management Consulting or related Stakeholder management capabilities Demonstrated ability to work more »
at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With strong product-market fit, this company has doubled in size over the last four years, are more »
providing expertise on Collateralized Loan Obligations and other structured products We are looking for: University degree in Mathematics/Statistics/Quantitative Finance/Physics, or similar background Minimum 8 years of proven experience in collateralized loan obligation and other structured product industries (Structuring, Portfolio Management, Risk Management, Rating Agency more »
graduate software engineer to develop cutting-edge, high throughput systems across a variety of python greenfield projects. Requirements · Degree: Financial Mathematics, Mathematics, Computer Science, Physics, etc. · Keen desire to become a software engineer · Experience using Python · Eager to learn more »
will have the chance to see the direct impact of your work on the business. Essential Skills: Advanced degree in a quantitative subject (Mathematics, Physics, Computer Science, Engineering etc.). Programming experience in one major language (C++, C#, Python etc.). Alpha researcher and can come from any asset class more »
core computer science background, who wants to make an impact in a critical space! You'll need: Bachelors or equivalent in Computer Science, Statistics, Physics or similar 3+ years commercial mobile engineering experience, ideally working in Swift (although flexible) Experience on projects with companies working on hardware, medical devices, BLE more »
as the ability to solve open-ended questions Bachelors/Masters in a highly analytical or technical field: CS, EE, Mech Eng, Math, Statistics, Physics, etc. Outstanding benefits package on offer to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, and a variety more »
