London, England, United Kingdom Hybrid / WFH Options
Kody
Stay up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and more »
process automation and further efficiencies for a key Version 1 customer. Qualifications A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) Strong object-oriented design and programming skills and experience in OO languages (Python and/or Java) Previous more »
Senior Data Scientist. (Candidates without substantial prior data science experience will not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well more »
Senior Data Scientist. (Candidates without substantial prior data science experience will not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well more »
practical work experience, preparing you for a rewarding career in the field of data science and consulting. Your profile: BBB at A Level including Maths or L4 Data Analyst Apprenticeship at Distinction or Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such 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/knowledge of option pricing techniques including normal and log-normal more »
industry. Strong academic background with a 2:1 degree (or equivalent) or higher in a relevant technical field such as computer science, software engineering, mathematics, or physics. Strong mathematical, analytical, and problem-solving skills. Good communication skills for effective collaboration with software engineers, artists, animators, QA, and production staff. Self more »
data projects. Strong proficiency in Python, SQL, Scala. Experience in at least one cloud platform (preferably GCP). BSc/MSc in computer science, maths, physics or STEM subject. Basic knowledge of statistics and machine learning. Experience with Spark, Apache services, ETL tools, Data visualization and dashboards. Experience with streamed more »
Greater London, England, United Kingdom Hybrid / WFH Options
North American Search Group Global Analytics Recruitment
and decision-making abilities Exceptional attention to detail and accuracy Effective communication and interpersonal skills Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or related field more »
Scientist, based in London! 12 months contract Key Qualifications: • Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in SQL and more »
ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Finance, or a related field. Experience working with Salesforce from a data/pipeline management perspective along with Snowflake Data Connectors a plus. more »
in the hiring process. For this position as the Senior Django/Python Developer, I am looking for: Degree in Software Engineering, Computer Science, Mathematics or similar 5+ years of commercial experience with Django Experience with Django Rest Framework & Python Industry use of relational databases - PostgreSQL An understanding of Cloud more »
services or prop trading Proficient programming skills in C++ or a similar object-oriented language is essential Masters degree or a PhD in applied mathematics, stats/financial engineering, computer science, physics Adept at solving complex problems Detail oriented Self-starter who can take ownership of projects from beginning to more »
and reports. Support regional stakeholders with ad-hoc data analysis and data insights. You’ll Need to Have: Degree in a quantitative discipline (e.g. Mathematics, statistics, economics, data science) or marketing Proven experience in a similar role or equivalent (Data/Insight/Research) Strong analytical skills and experience of more »
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 »
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 »
various asset-class quant analytics libraries and working closely with the trading business and IT. Your expertise You Have • a numerate degree (computer science, mathematics, physics, engineering or similar) • good algorithmic and general programming skills • some front office experience or knowledge of financial markets (derivatives would be great) • ideally some 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 »
Insurtech Startup providing advanced analytics solutions • Advanced degree required in a field linked to business analytics, statistics or geo- statistics, operations research, geography, applied mathematics, computer science, engineering, or related field • Strong record of professional accomplishment and leadership • Looking for individuals with deep technical and data science expertise, acute strategic 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
STRASYS
non-technical audience. Self-awareness, tenacity and stamina to relentlessly focus on driving improvements. A degree, Masters or PhD from a leading university in Mathematics, Physics, Economics or Computer Science incorporating Data Science or Analytics based modules. Excellent attention to detail, with high quality written and verbal communication. Experience in 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 »
architect and implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master’s/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Excellent communication and interpersonal skills. Full proficiency communicating in English in a business context (verbal 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 »
