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 »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion 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 »
a collaborative and informed decision-making environment.Required Qualification/Skills1. Educational Background:* Master's in a quantitative discipline such as Computer Science, Finance, Economics, Statistics, or a related field (preferred).2. Professional Experience:* Minimum of 3-5 years of experience in quantitative analysis, financial modelling, and software development.* Demonstrated experience 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 »
validation and decision support model relates roles. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have Advanced level of SAS or SQL programming – an equivalent level in an 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 »
encourage diversity in the belief that it leads to both great workplaces and great products.Required Qualifications:Masters/PhD in Computer Science, Math, Physics, Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning 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 »
with management responsibilities - performance reviews and feedback.Desirable skills/Preferred Qualifications:· Experience working with cloud integrations, preferably AWS.· Strong analytical and numerical skills (e.g., statistics, probability theory, numerical methods, stochastic calculus).· Exposure to stress-testing and regulatory capital (e.g. FRTB) requirements for risk management systems.Purpose, Values and MindsetWe deploy 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 »
with Dash/Plotly or similar visualization software. Skilled in database programming (kdb, SQL) and MS Excel with real-time data. Strong understanding of statistics/econometrics for back-testing. Excellent analytical, problem-solving, and critical-thinking abilities. Creative thinker with attention to detail. Self-motivated, eager to learn, and more »
in machine learning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a more »
and compliance. An experience of data mapping and consolidating. Experience at working across multiple geographies. Ideally a degree in Sustainability, Engineering, Mathematics, Computer Science, Statistics or related discipline Key Competencies Excellent stakeholder management and communication skills Detailed, precise and quality focused Team player A self-starter who seeks ways to more »
data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »
and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages more »
capacity. Preference is given to candidates with buy-side experience. Bachelor's and/or Master's degree in a quantitative field such as statistics, mathematics, engineering, financial engineering/economics, or a related discipline. Proficiency and practical experience in credit investments and fixed income, encompassing the development and maintenance more »
reservoir of experience in quantitative research within a trading environment, notably in digital assets or traditional market spaces. A strong academic background in Mathematics, Statistics, Financial Engineering, or a related field. Proficiency in programming languages such as Python, R, or MATLAB is foundational. A demonstrable track record of developing profitable more »
Deep knowledge of data management, machine learning, AI frameworks, and analytics tools. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are advantageous. Strategic Vision: Ability to develop and articulate a clear data and AI strategy that more »
This role will work with different teams to coalesce data from multiple commercial sources and utilise reporting & analytical tools to generate detailed information and statistics to identify trends, efficiencies and new opportunities or risks related to the commercialization of AVEVA’s industrial platform services.ResponsibilitiesWork with CONNECT platform leadership team to more »
are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Degree in finance, business, economics, mathematics, statistics, computer science or related field - Experience working with SQL, Datamart or VBA - Experience translating roadmaps and key performance indicators as well as recommendations to senior more »
