value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯
aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯
across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯
Familiarity with Agile development methodologies (XP, SCRUM, Kanban) and continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally More ❯
Familiarity with Agile development methodologies (XP, SCRUM, Kanban) and continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally More ❯
other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯
entire duration of the program Ability to travel to clients and FTI Consulting office(s) Preferred Qualifications Preferred major(s): Business Administration, Management, Finance, Engineering, Computer Science, Data Analytics, Mathematics, Statistics, or a related field Excellent analytical and problem-solving skills A logical and lateral thinker, who is intellectually curious, highly organized, and structured Exceptional communication and interpersonal skills, with More ❯
ability to liaise between IT and trading desks Production stability mindset and ability to work with infrastructure and support teams Qualifications Bachelor's degree (or equivalent) in Computer Science, Mathematics, Physics, or Engineering Postgraduate qualifications in advanced computing or statistical disciplines are desirable Competencies & Values Ability to quickly learn and apply new technologies Proactive in contributing ideas and innovations to More ❯
Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under More ❯
rigorous mathematical problem-solving skills, and experience in P&L and risk systems or in another Front Office development capacity. Specifically, you should have: A bachelor's degree in mathematics, physics, computer science, engineering, finance, or a related field Proven leadership experience as a UI Technical Lead or similar role, with a strong track record of UI team building and More ❯
strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value What We Value Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. A highly analytical mindset and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. More ❯
deliver scalable solutions. Supporting and mentoring team members, fostering a culture of inclusion, learning, and innovation. Requirements: Advanced degree (PhD, Master's, or equivalent experience) in AI, Computer Science, Mathematics, or a related field. Strong experience in applied AI or LLMs in a commercial or research setting. Strong knowledge of context engineering, LLM fine-tuning, and evaluation of non-deterministic More ❯
based platforms. Data structures and design/analysis of algorithms. Analysis of concurrency and parallelism for speed/space performance tradeoffs. Bonus Experience Exchange traded financial instruments. Statistics, discrete mathematics, linear algebra. Problem-solving and proof construction. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents More ❯
common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Required Skills Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯
Analytics activities. Create and maintain comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications Essential Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or More ❯
in additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as More ❯
models Experience building tools and technologies within systematic or discretionary investing units Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal More ❯
Experience in UI design, optimisation, scalability and reliability. Excellent problem solving and analytical skills in a high-pressure environment. Must possess a solid degree in Computer Science, Physics, Engineering, Mathematics or relevant analytical degree. Strong understanding of algorithms, data structures and design patterns including why and where to use them. Candidate must be a strong team player with excellent communication More ❯
Experience in UI design, optimisation, scalability and reliability. Excellent problem solving and analytical skills in a high-pressure environment. Must possess a solid degree in Computer Science, Physics, Engineering, Mathematics or relevant analytical degree. Strong understanding of algorithms, data structures and design patterns including why and where to use them. Candidate must be a strong team player with excellent communication More ❯
as a Quant Developer in quantitative finance or trading environments Strong Python (10+ years), ideally with Visual Studio Solid C++ experience (5+ years) Background in mathematical finance, science, or mathematics from a top-tier university Familiarity with pricing models, CI/CD pipelines, and multi-component architectures Experience with distributed computing and serialization techniques What you'll do: Design and More ❯
Qualifications Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7+ years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building components for enterprise central data platforms More ❯
of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding More ❯
of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding More ❯
of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding More ❯
propose solutions. People who can collaborate with others, using their communication skills in the process. We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply.At LSEG, we More ❯
