new data environment Machine Learning Essential to have at least 1 years’ experience in Finance Strong SQL Strong skills in Python/SQL or R Strong understanding of data warehousing AI Tooling Ideally an understanding of Credit Bureau DataThe environment is that of Facebook or Google, relaxed open with time more »
of positive P&L. Healthy appetite for risk and the ability to manage risk effectively. Excellent analytical and problem-solving skills. Familiarity with Python, R or MATLAB. Ability to work in a fast-paced, dynamic environment. Strong communication and leadership skills. A competitive compensation package, including base salary and performance more »
methods and a good understanding of different data storage and handling tools, including the main tools and packages being develop in the new RTGS R&A platforms (Tableau, PowerBI, R etc).In-depth practical experience of applying advanced analytics to support the resolution of complex business/policy related issuesGood … time pressureDesirable CriteriaKnowledge of payment and settlement systems, the Bank’s role within them, and the broader payments industryExperience of data visualisation, particularly using R Shiny or TableauExposure to using collaboration, version control and DevOps tools including but not limited to Jira, Confluence, Azure DevOps, GitFamiliarity with project management responsibilitiesPractical more »
in econometrics, economics, quantitative finance or another quantitative discipline Experience in IRRBB, ALM, Stress testing, Credit risk or Counterparty Credit Risk Experience in coding (R, Python, MatLab, etc) In-depth knowledge of Model Risk management processes Due to the high levels of applications received, only successful candidates shall be contacted. more »
growth hire. You will need 3+ years London market Pricing experience and a strong technical skillset including proficient use of Python and/or R (Hx Renew Beneficial too) Please get in touch if you have the relevant experience and would like to find out more more »
own and develop your career – with a personal and professional development plan and access to the broadest learning offerings in the industry.Job SummaryJob number: R-109454Date posted : 2024-02-02Profession: Sales and Pre-SalesEmployment type: Full time more »
deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.Job SummaryJob number: R-219829Date posted : 2024-05-30Profession: Product ManagementEmployment type: Full time more »
key factors including weather, age of vehicle and driver region on the reserves of a large UK motor insurer Building stochastic simulation models in R to support one of the largest reinsurance placements in the London Market What’s the role and what will you be doing? Due to the … consulting analytics projects to insurers. They are looking for individuals with experience in delivering analytics projects to non-life insurers in Python. Experience with R and/or working with cloud computing (preferably Azure) would be beneficial but is not essential. Specifically, you will be: Working within their dynamic team … t have to be an actuary though! You’re happy working in Python, ideally you have significant experience using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essential Track record of applying statistical and machine learning techniques to solve business problems for more »
Kensington and Chelsea, United Kingdom Hybrid / WFH Options
Imperial College London
and able to solve complex problems with strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Matlab, Python). You should also have experience preparing oral and written reports of research findings. Relevant training and development will be encouraged both internally … PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion. Experience with the analysis of omics data Proficiency with R, Matlab or Python 2-3 years' experience of analysing transcriptomics\proteomics Knowledge of research methods and statistical procedures A strong understanding and proven experience of … Assistant: MSc (or equivalent) in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject Experience Essential Experience with the analysis of omics data Proficiency with R, Matlab or Python 2-3 years' experience of analysing transcriptomics\proteomics Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders more »
as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities. – Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation. – Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. … understanding of human biology beyond the statistical/ML models being developed – Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for biological interpretations. – Embracing change in a start-up environment Desirable -Familiarity with project management tools -Familiarity with Github -Familiarity with more »
Dotnet Developer - Economic Models We are looking for top developers that can add real value. The developer must have speciality in: Programming ready built Economic models into software Taking financial models in excel and building them into our c# Asp.Net more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
compliance requirements e.g., CoP ( Confirmation of Payee ) Identify ing emerging risks and report ing details to relevant business areas Oversee ing regulatory change initiatives R eporting on risk matters to ensure external c onduct and PRA reporting obligations are met Assisting in updating internal policies to mitigate regulatory risk Your more »
on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning/Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and more »
collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis experience, preferably in an agency - Proficient in SQL, Python or R for data work - Experience with visualization tools like Tableau, Power BI - Skilled in analytics platforms like GA4, Adobe Analytics - Strong communication abilities - Collaborative mindset - Degree more »
and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages such as Python; R or alternative. Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments. The ability to more »
flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics more »
Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »
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 with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday more »
or related field of educationExpertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAIStrong programming skills in Python, R, C#, or similar, with experience in cloud computing platforms (AWS, Azure, Google Cloud)Strong problem-solving skills, with an emphasis on consensus building and collaborationExcellent more »
strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working Superb leadership more »
London, England, United Kingdom Hybrid / WFH Options
Zego
to individual projects or support others with theirs Bonus points BS/BA in Mathematics, Engineering, Finance, Economics, or similar Familiarity with Python or R Previous experience in a rapidly growing startup, InsurTech, or FinTech Prior experience in developing ETL processes and financial modeling What's it like to work more »
London - EnglandOperations/Employee: Full Time/HybridWhy We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate more »
