Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
requirements into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS more »
risk management, etc.) Preferred Technical Skillset Strong research and programming skills Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university Fluent in C++ or Python Demonstrate strong abstract reasoning and independent problem-solving skills Preferred more »
needs of our users. As a senior full stack engineer, you will lead the design and development of products that are based on proprietary statistics, machine learning, optimisation, and AI methods and that are of strategic importance to the firm. You will partner with our product managers, researchers, and stakeholder more »
years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. more »
in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. Desirable previous credit risk modelling more »
weekly and ongoing Risk meetings and discussions. EDUCATION, SKILLS &EXPERIENCE REQUIRED: Degree level education, preferably in Business/Finance/Banking/Mathematics/Statistics/Engineering or with appropriate working experience. Proven experience in a specific commodity; Gas, Power, LNG, Emissions in a risk or front office role. Deep more »
Finance for compensation payouts to Sales team members in plans. Drive to improve sales processes Qualifications : A bachelor’s degree in business, finance, economics, statistics, or a similar field. 3+ years of experience analyzing complex data. Proficiency with data analysis tools, including advanced proficiency in Excel. Strong mathematical skills required. more »
industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics/biology. Implement and test pioneering enhanced more »
R - we use Python at Eki· Proficiency in Microsoft Office software such as Word, PowerPoint, and Excel· Degree in Economics/Econometrics, Maths/Statistics, Business Analytics, Data Science or a related field · Interest in working in a fast-paced and driven consultancy environment. · Clear and concise communicationWorking for EkiWorking more »
trading activities. Qualifications: Years of experience in systematic credit trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation. Strong coding skills in languages such as Python, C++, or Java. Please follow more »
as the ability to solve open-ended questions. PhD/Masters is preferred in a highly analytical or technical field: Computer Science, Engineering, Math, Statistics, Physics, etc. Please follow Algo Capital for the latest job updates: https://www.linkedin.com/company/algocapitalgroup more »
Qualifications: Experience in systematic equities trading, preferably statistical arbitrage strategies. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation with a shape>2. Strong coding skills in languages such as Python, C++ more »
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 trading more »
driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ NEXT STEPS: If more »
required for the role of Connected Car Analyst include : * Ideally Degree qualified or equivalent in a relevant engineering discipline * Proficient in MySQL, Tableau and Statistics * Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps * Knowledge of Data visualisation tools * Competent with PC applications including Microsoft Office more »
and quantitative data. YOUR SKILLS AND EXPERIENCE: The Insight Manager will have the following skills and experience: Bachelor's degree in Marketing, Business, or Statistics; Master's degree preferred. Proven experience in market research-focused roles with strong analytical and communication skills, client or agency-side. Excellent experience in quantitative more »
methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously implementing more »
. Familiarity with 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 more »
reporting ensuring accuracy and timeliness. Qualification and Experience requirements Degree in any recognized Degree in Finance, Accounting, Economics and other Quantitative discipline such as statistics, actuarial science etc. A master’s degree or Professional Certificate (e.g. CFA, FRM) would be an advantage. 5+ years working experience in the oil & gas more »
emerging machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on more »
Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation more »
Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »
Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »
for deployment in the investment process Skills and Qualifications: Bachelor's, Master's, or PhD degree in a quant discipline such as Applied Mathematics, Statistics, Computer Science etc. 5 years of experience in a quantitative research role focusing on systematic equities Proficiency in C++ or Python Successful track record Sharpe more »
to continually improve existing strategies and develop new ones. Investigate and implement new trading products and strategies. Qualifications: Degree or higher in Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on futures. Experience in alpha generation with a proven track record of more »
