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 »
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 »
across ESL, e.g. Academic Team, Quality Managers, Registry, Assessments, Retention. About You: Required qualifications, experience and skills: Bachelor’s degree in Computer Science, Statistics, Mathematics or any other quantitative field Experience in business intelligence, analytics or related data-oriented role Expertise collecting, mining, and analysing large, complex data sets … to manage multiple projects simultaneously, prioritise tasks, and meet deadlines. Desirable qualifications, experience and skills: Master's degree in Computer Science, AppliedMathematics, Statistics or another quantitative field Good working knowledge of programming techniques and languages like Python, Scala, Java script etc Good working knowledge of Cloud 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 »
across ESL, e.g. Academic Team, Quality Managers, Registry, Assessments, Retention. About You: Required qualifications, experience and skills: Bachelor's degree in Computer Science, Statistics, Mathematics or another quantitative field Experience in business intelligence, analytics or related data-oriented role. Experience in leading others in data collection and analysis. Expertise … to manage multiple projects simultaneously, prioritise tasks, and meet deadlines. Desirable qualifications, experience and skills: Master's degree in Computer Science, AppliedMathematics, Statistics or another quantitative field. Good working knowledge of programming techniques and languages like Python, Scala, Java script etc. Good working knowledge of Cloud more »
and the team through teamwork, training and leading by example. Key Candidate's Skills: A degree in numerate or hazard-related subjects, ideally AppliedMaths, Statistics or Engineering, Computer Science or relevant scientific subject such as Physics, Seismology, Atmospheric Science, Geo-Sciences. Alternatively, relevant industry experience would be 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 »
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 »
Sciences) or equivalent proven experience. Deep knowledge of capital markets, derivatives (products and markets, trading/risk management, vanillas and exotics), appliedmathematics, valuations models, numerical implementation methods. Excellent organizational and communication skills Outstanding quantitative and analytical abilities Proficiency in relevant IT skills and packages (e.g. Excel 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 »
financial derivative module Knowledge on financial instruments such as Bonds, Interest Rate Swaps, Equity options, FX options, Swaptions, etc. Understanding of appliedmathematics in derivative products valuation and strong analytical skills Organisational skills with ambition to see projects and deliverables through to completion. Ability to perform investigation more »
business models. Experience of prototyping gameplay mechanics using UE4, Unity, or similar. Skilled in writing clear, concise design documentation. Adept at collaborative working. Appliedmaths skills to support systems design, analysis & balance. Strong problem-solving skills including lateral thinking. In return you will receive some of the industries more »
