technology. Communicate regularly with internal and external stakeholder presenting clear and insightful findings. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in more »
working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance of confidence more »
on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong more »
market trends, news, and developments that could impact trading strategies. Qualifications: Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience more »
the 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 more »
on responsibility on high-value projects with dynamic structures. Experience leading and developing ambitious, high-performing teams- preferably in a Consulting environment. Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oxford Economics
practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation techniques more »
CX and sales director Key Skills Past experience as data/business analyst Power BI SQL, excel and data visualisation Degree level education in statistics, mathematics, CX or computer science is preferrable Similar experience The Ideal CX insights Manager: A genuinely curious person that loves data Strong analytical and communication more »
models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »
targeting business problems Regularly interact and present to both technical and non stakeholders. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modelling, with clear commercial impact and value highlighted Excellent communication more »
problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »
to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we're looking for; Undergraduate degree in mathematics/statistics or a similarly numerical subject. Undertaking actuarial exams, with the ambition to qualify as a Fellow of the Institute and Faculty of Actuaries. (IFoA) or more »
a client-facing role YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Consultancy or client-facing experience Experience across Data Strategy would be a large benefit but not required HOW TO APPLY Please register more »
and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4+ years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »
data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience more »
AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »
in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »
to understanding the data and analytics across the differing asset classes Ideal candidates will have: · Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field · 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution · Strong programming skills in more »
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 research more »
of innovation, striving for excellence and setting new benchmarks in systematic fixed income 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 more »
markets Experience or strong interest 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 more »
activities Lunch allowance for use within our subsidized onsite canteen Must have skills Degree educated or equivalent in a relevant subject e.g. Quantitative Finance, Statistics Significant experience within investment risk management within the asset management or financial services industry with a focus on equities Extensive knowledge of capital markets and more »
as we continue to build integrated solutions for our clients Skills and Attributes Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Minimum 2 years of relevant Life Insurance actuarial experience for Consultant and at least 5 for Senior Consultant and above more »
and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus Excellent problem-solving and analytical skills. Experience working in an Agile development environment. Our Amazing Benefits Hybrid/Flexible working model 25 days more »
team Have experience of large-scale training Experience in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »
