features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably 5+ years more »
Large Language Models. Expertise in NLP, with experience in PyTorch, TensorFlow, HuggingFace, transformers, and Python. Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience. Experience with Large Language Models, BERT, Embeddings, and similar technologies. Experience with cloud computing platforms such as AWS more »
academic research to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative more »
trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python, C++). Exceptional analytical and problem-solving abilities, with a keen eye for detail. Direct experience in the development more »
stakeholders on technical solutions and strategies. You will be successful if you have: Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics or a related field. 8+ years experience in designing, building, and maintaining scalable data pipelines and processing workflows. Strong proficiency in Python and SQL, with more »
Reading, England, United Kingdom Hybrid / WFH Options
Aquent
integration By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such more »
Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven experience more »
in crypto markets Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in Python and understanding of Git more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Storm ID
at engaging with colleagues and clients and negotiating mutually beneficial solutions to project requirements • comfortable working on cross-functional project teams Desirable: • degree in Mathematics or a related subject • experience using website tagging software like Google Tag Manager • experience using SQL, Python or R • familiarity with Agile working • familiarity with more »
Swindon, England, United Kingdom Hybrid / WFH Options
Nationwide Building Society
track record of senior stakeholder management, with high quality communication and influencing skills Have a PhD, MSc or strong quantitative degree ideally from a Mathematics, Statistics, Computer Science or related subject Our Customer First behaviours are all about putting customers and members at the heart of how we work together. more »
mentoring and developing new team members. Requirements What you need to succeed: Degree in Computer Science, Robotics or a related field (e.g., Engineering, Physics, Mathematics). Previous years of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes more »
and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »
Coleshill, England, United Kingdom Hybrid / WFH Options
Mercury
creativity. Proven ability to coach and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the more »
data accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you more »
systems and developing a reporting suite to support the business in implementing a global, data-led strategy. Essential A relevant statistics, computer science or mathematics degree or equivalent Knowledge of InterAction or CRM database structures Advanced knowledge of Excel (pivot tables) Knowledge of SQL, R, Python or other data analytical more »
analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
/Looker/etc) to uncover key insights across channels and create self-service dashboards. EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate more »
analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related disciplineProficiency in R ShinySQL for data manipulation and analysis What's in it for you:Salary of up to £45,000 + comprehensive more »
performance.Investigate and implement new trading products and strategies.Qualifications:Experience in systematic volatility trading.Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields.Strong coding skills in languages such as Python, C++, or Java.Please follow Algo Capital for the latest job updates more »
trading products and strategies.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 »
and strategies. 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 more »
trading products and strategies.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 »
implement new trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest more »
