testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, appliedmathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have Advanced level of SAS more »
at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm. As a Applied AI/ML Senior Associate, you are an individual contributor who should be able to apply quantitative, data science and analytical skills to complex … the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, AppliedMathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques more »
in London! 12 months contract Key Qualifications: • Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, appliedmathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in SQL more »
improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, AppliedMathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing more »
trading. Start: ASAP Duration: 6 or 12 months Key Requirements: Post graduate degree in a technical field (ie Engineering, Statistics, Physics, AppliedMathematics etc). Proficiency in an analytical programming language such as python, R or MATLAB to be used daily for research and analysis. Strong interest more »
prop trading Proficient programming skills in C++ or a similar object-oriented language is essential Masters degree or a PhD in appliedmathematics, stats/financial engineering, computer science, physics Adept at solving complex problems Detail oriented Self-starter who can take ownership of projects from beginning more »
/short and statistical arbitrage strategies. Requirements: ➢ Master’s or PhD degree in a quantitative subject such as Econometrics, Computer Science, AppliedMathematics, Statistics, Physics, etc. ➢ 1-3 years of relevant work experience ➢ Experience with independent research utilizing big datasets ➢ Python proficiency ➢ Attention to detail skills ➢ Excellent more »
fulfilling all relevant documentation commensurate with ISO 13485 quality standard Person specification: Masters or PhD in a relevant field such as AppliedMathematics, Biomedical Engineering, Chemistry, Physics, Bioinformatics, or related Proficient in Python, SciPy, NumPy, Pandas. Experienced with a range of programming packages including R, SQL and more »
skills. Working knowledge of Python and/or C++. Masters or PhD degree in a quantitative subject such as Computer Science, AppliedMathematics, Statistics, or related field more »
management, etc.) Preferred Technical Skillset Strong research and programming skills Bachelors, Masters or PhD degree in a quantitative subject such as AppliedMathematics, Statistics, Computer Science or related field from a top ranked university Fluent in C++ or Python Demonstrate strong abstract reasoning and independent problem-solving more »
Portfolio Managers with Intraday holding periods to their team Job Responsibilities: Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative … mainstream quant programming languages, such as Python and C++ Masters or PhD degree in a relevant subject such as Computer Science, AppliedMathematics, Statistics, or a related field more »
Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or AppliedMathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Qlik experience more »
