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 »
Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top more »
knowledge of applied modelling and analytics experience in applicable industry Have good understanding of statistical methods applied to data analysis Have user experience of R, Python or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good written communication more »
City of London, London, United Kingdom Hybrid / WFH Options
The Opportunity Hub UK
finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical analysis, machine learning, and data manipulation. Excellent problem-solving skills and attention to detail. Ability to work effectively in a more »
reports and manage/review existing reports in the SSRS as per business requirement. Opportunity to perform further meaningful analysis using various tools e.g. R, Google Analytics. Person Specification Qualifications Essential Advanced Google Sheet and Microsoft Excel skills. Working knowledge of database (SQL). Working knowledge of SSRS. (Desirable) Working more »
updates to the database object model. Develop new or utilize existing technology to build dynamic web applications or software tools for bioinformatics applications using R, Shiny and/or Python. These tools will enable detailed and consistent data analysis/manipulation and programming support for custom built scientific applications. Serve more »
risk adjustment methodologies Intellectual curiosity and ability to draw complex conclusions from data. Knowledge of Business Analytics software such as PowerBI, Access, SAS or R, and/or SQL ASA or FSA designation The annual salary range for this position is $109,100.00-$163,700.00. Compensation decisions depend on a more »
decision-making are at the heart of their growth and customer success. They are now seeking a skilled Data Analyst with expertise in Python, R, or JavaScript to join a highly talented team. If you are passionate about data analysis and looking to make an impact in the financial industry … role in extracting, analyzing, and interpreting complex data sets to support business strategies and decision-making processes. You will leverage your expertise in Python, R, or JavaScript to develop insightful analyses and contribute to the optimization of our data infrastructure. Key Responsibilities: Data Extraction and Analysis: Extract, clean, and analyze … large datasets to identify trends, patterns, and insights that drive business decisions. Tool Development: Utilize Python, R, or JavaScript to develop and maintain analytical tools and models. Reporting: Create comprehensive reports and visualizations to communicate findings to stakeholders and senior management. Collaboration: Work closely with cross-functional teams, including IT more »
is currently Tableau but they’re in the process of shifting over the PowerBI. From a language perspective you’ll be using Python and R to dig deep into the expansive data sets on offer. This is the perfect opportunity to join a business with a stellar track record of more »
come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial 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 more »
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. Knowledge of statistical techniques and quantitative methods, including time series forecasting and predictive modelling. Excellent communication skills and ability to work collaboratively in more »
or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with more »
Milton Keynes, England, United Kingdom Hybrid / WFH Options
Pimlico Banks Recruitment
services Any cloud knowledge beneficial - Azure, AWS etc A grounding in maths, stats or software or data engineering Any experience of SQL, Python or R would be advantageous If you are a Data Analyst or Data Engineer and looking for an opportunity to grow and progress your career then apply more »
/stochastic modelling, time series analysis. • Programming skills in one or more of the following programming/scripting languages round out your profile: Python, R, VBA, SQL, SAS, STATA, Matlab. • You are fluent in English and have a very good knowledge of German (B2 level). more »
Cambridge, England, United Kingdom Hybrid / WFH Options
Remobi
with probabilistic modeling and risk management techniques. Experience in risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »
or industry A minimum of 3 years of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage more »
learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as Python, R, or SQL. • Excellent communication and collaboration skills, with the ability to translate technical findings into actionable insights for non-technical stakeholders. If this sounds like more »
in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as analytics and engineering IDEAL CANDIDATE Minimum 3 years of experience in data operations, reporting, or a related business intelligence practice more »
reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and experience in communicating them to a wide audience. The more »
discipline (or equivalent experience). - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Python, Julia, R, Swift Parallel Scripting). - Strong experience with the UNIX operating system, particularly the command line interface. - Practical experience in agile project management and software development more »
essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Job Schedule Full time Job Number R Job Segmentation Experienced Professionals (Job Segmentation) Starting Pay/Salary Range $105,000.00 - $150,000.00/year more »
important that you fit right in. Ask yourself, do they describe you? G rowth Mindset - We fulfil our personal and professional p o tential R esourceful - We find a way to get it done A ccountable - We do what we say F actual - We tell it like it is (without more »
the ability to develop and codify knowledge and provide analytical advice where required. Technical Skills (Must have): Overall fluency in either of Python or R: ability to read, create, debug and package code, being comfortable using either of Pycharm, R-Studio, Visual Studio or any other IDE SQL scripting, ability … to collect data from relational databases, e.g. PostgreSQL, MySQL, MSSQL etc.) Data wrangling with Python (pandas) or R Hands on statistical inference using Python, R as well as MS Excel extensions Experience in data visualization and presentation using either of Tableau, PowerBI, QlikView, Dash, Self-learning and quick ramping in more »
are looking for two Graduates to join their Analytics/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to work more »
Power BI Requirements: Degree in a numerate subject or equivalent qualification/experience In-depth understanding of large, complex project lifecycles Experience with Python, R, SQL, and Microsoft Azure Expert knowledge of Power BI, including DAX and M (Power Query) Data analytics/data science capabilities System admin certification and more »