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 »
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 »
to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with 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 »
Generative AI research papers to understand applicability to solve practical business problems. Qualifications Who we're looking for: Degree in a quantitative discipline (e.g. statistics, computing science, data science) or equivalent experience Experience in dealing with high volumes of data with excellent attention to detail and reconciliation Knowledge of a more »
Experience working with agile teams and aligning with stakeholders to deliver with fast time-to-market, quality and ownership. Experience in data science techniques, statistics, analysis and visualization of data is always nice to have. At Kantar we have an integrated way of rewarding our people based around a simple 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 »
across various energy market sectors Presenting quantitative market analyses through reports and pitches Our ideal candidate will possess: A Master's degree in Engineering, Statistics, Physics, Mathematics, or Economics 2+ years of experience, preferably in the energy sector, with a focus on UK/European electricity markets Excellent analytical and more »
guild and become the go-to expert for data management. Requirements: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency more »
investment analysts and portfolio managers to effectively support and optimize their potential for generating superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods 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 »
the latest research on algorithmic trading. Start: ASAP Duration: 6 or 12 months Key Requirements: Post graduate degree in a technical field (ie Engineering, Statistics, Physics, Applied Mathematics etc). Proficiency in an analytical programming language such as python, R or MATLAB to be used daily for research and analysis. more »
best in class data science services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in data science, analytics, or a related field, with the ability to deliver hands on projects as well as guide more »
and time management skills. Proficiency in industry-standard process methodologies (e.g., Agile) is required. University degree with an emphasis on Computer Science, Mathematics/Statistics, or equivalent demonstrable experience Great communication skills and an ability to build strong relationships across all organisational levels Flexible team player who understands the importance more »
London - LHR16 We are open to hiring candidates to work out of one of the following locations: London, GBR Basic qualifications Degree in mathematics, statistics, computer science, engineering, economics or related field Experience translating roadmaps and key performance indicators as well as recommendations to senior leaders Experience in quantitative research more »
models and SABR. Experience/knowledge of Risk Models such as Value-at-Risk (VaR) and Stress methodologies. Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »
data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Qlik experience more »
years' of experience in quantitative analytics or data modeling Commodities background is a must Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience working on data sets, data analysis and basic modelling How to Apply: If you’re interested, submit your CV and more »
in class data and AI services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. A senior leadership profile, with demonstrable experience in realising commercial value from data assets Expert knowledge in data science and analytics, with more »
Assist in the preparation of investment strategies and recommendations. The Successful Applicant: 1. Master's degree in Finance/Business Administration/Economics/Statistics or a related field or equivalent education only from Premier Institutes with 2-4 years' post qualification experience in PE/VC/Investment Banking more »
with data pipeline development and automation. coding skills (mainly with Python) knowledge (understanding of risk concepts such as VaR calculations) and good understanding of statistics with version control systems (Git) Experience with big data frameworks, databases, distributed systems, Cloud or Web development. Experience with any of these: SQL, JavaScript, TypeScript more »
London, England, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »
West London, London, United Kingdom Hybrid / WFH Options
Hays
new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »
deliver with fast time-to-market, quality, and ownership. Desirable: Experience with Agile and SAFe frameworks for software development Experience in data science techniques, statistics, analysis, and visualization of data is always nice to have. At Kantar we have an integrated way of rewarding our people based around a simple more »
