Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
MBDA Miissle System
methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image More ❯
in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership models) Familiarity with orchestration tools and observability platforms (Airflow, dbt, MonteCarlo, etc.) Exposure to real-time/streaming pipelines Understanding of information security best practices Familiarity with BI tools (QuickSight, Power BI More ❯
with advanced technology nodes (FinFet, GAA). Understanding of reliability and ESD concepts. Preferred Qualifications: Awareness of full custom layout techniques. Experience with Monte-Carlo simulations and analysis. Knowledge of Verilog-A for analog behavioural modelling and simulation. Experience with developing automotive products. Scripting skills (Python More ❯
of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as MonteCarlosimulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected More ❯
of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as MonteCarlosimulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected More ❯
markets division's drive to expand exotic interest rate derivatives revenue. ? Implement local volatility multi-factors short rate model (qGM) that used parallel MonteCarlosimulation, pathwise differentiation (AAD) for fast Greeks calculation. ? Deploy GM pricing tools in web-based application, excel and Murex. Promoted the More ❯
of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as MonteCarlosimulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn't expected More ❯
Rates, hybrids, and exotics is a plus Advanced degree (PhD or Master's) in a quantitative field Practical knowledge of financial mathematics (PDEs, MonteCarlo, stochastic calculus) Strong communicator, comfortable on a trading floor, and collaborative by nature This is a Full time role offering a More ❯
/or R. Knowledge of powered flight and modelling of trajectory and guidance systems. Knowledge of weapon effects modelling. Knowledge of Numerical and Monte-Carlo methods. Knowledge of Radar and/or IR sensor modelling. Knowledge of Command and Control modelling. Our non-negotiables Youmustbe eligible More ❯
experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as MonteCarlosimulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in More ❯
london, south east england, united kingdom Hybrid / WFH Options
Harrington Starr
experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as MonteCarlosimulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in More ❯
of a new exotic rates pricing library, including project planning and stakeholder engagement. Implement local volatility multi-factors short rate models using parallel MonteCarlosimulation and pathwise differentiation (AAD). Deploy GM pricing tools across web applications, Excel, and Murex, promoting Python for prototyping. Participate More ❯
with linear and options products. Physicals is a plus, but not necessary. Good quant exposure and understanding (there is no need for heavy MonteCarlo modelling, but someone with a practical and applied understanding of quantitative concepts). More ❯
with linear and options products. Physicals is a plus, but not necessary. Good quant exposure and understanding (there is no need for heavy MonteCarlo modelling, but someone with a practical and applied understanding of quantitative concepts). More ❯