to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statisticalmodelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »
support provided for those with the enthusiasm and aptitude to learn. This job will involve: • Assist in the development and execution of Marketing Mix Modelling (MMM) projects to evaluate the effectiveness of marketing strategies across various channels. • Conduct data analysis, statisticalmodelling, and interpretation of results to … following skills: • Bachelor's or Master's degree in Economics, Statistics, Mathematics, or a related field. • Strong analytical and quantitative skills, with proficiency in statistical analysis and econometric modelling. • Excellent communication skills, with the ability to effectively convey complex concepts and insights to both technical and non-technical stakeholders. … Excel and PowerPoint; experience with R/Python for data analysis and visualisation is a plus. • Prior experience or coursework in marketing analytics, econometric modelling, or related fields is preferred but not required for recent graduates. • If this sounds like the role for you then please apply today! Alternatively more »
clients. Proven track record of driving business results through data-driven decision-making and advanced analytics. Deep technical expertise in data mining, machine learning, statistical modeling, and other relevant areas. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. If you are more »
for a Data Scientist to join their Product team – you will be working on the latest AI and ML techniques as well as traditional statisticalmodelling to create best in class products that will give them and their clients a competitive edge. You will be working as part more »
in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis skills. Previous experience more »
passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills StatisticalModelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »
to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statisticalmodelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »
. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture more »
needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »
Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work. Is passionate … about using customer data & statistical/technical expertise to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise more »
Societe Generale Corporate and Investment Banking - SGCIB
impact of the models for the different liquidity metrics. Provide Management and business partners with ad-hoc liquidity analysis and forecasts Competencies Knowledge of statistical and mathematical modelling approaches of balance sheet management ; Knowledge of Treasury (structure, functions, profit planning and growth) and financial product and hedging; Knowledge more »
As part of the role, the manager will support the team in quantifying Aviva Investors’ operational risk capital requirements through the use of a statistical model. They will also help coordinate the wider ICARA and emerging risk framework activities through: Supporting the team in co-ordinating the development, monitoring … for: Knowledge of emerging risk and capital management frameworks and practices across the asset management and other financial sectors. Understanding of ICARA and related modelling techniques such as operational risk modelling Knowledge of the workings of the FCA and other global regulators, in particular an understanding of their more »
Responsibilities include: Interacting with and influencing business and finance customers to gather, calculate and present data. Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. Be responsible for the Production Planning as well as cost and service optimization Building short/medium and long … as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise Resource Planning Systems more »
expand its team and is looking to onboard a Junior Quant Analyst in London. The Role The successful candidate will have extensive experience in statisticalmodelling and data analysis. They will also be supporting the power trading desk by researching fundamental data to identify market trends and anomalies. … business Present findings and recommendations to internal stakeholders. Requirements PhD or graduate degree educated in a STEM field. Experience with data analysis and predictive modelling (eg: machine learning, statisticalmodelling, etc.) Programming in R, Python or similar scripting language. Solid understanding of probability and statistics. Excellent communication more »
and marketing mix modeling (MMM) to drive strategic insights and recommendations for optimizing marketing efforts. This role requires a deep understanding of data analysis, statisticalmodelling, and marketing principles to analyze complex datasets and translate findings into actionable marketing strategies. Key Responsibilities: Design and Execute Test & Control Analyses … Marketing Mix Modeling (MMM): Lead the development and refinement of MMM to understand the effectiveness and ROI of marketing spend across different channels. Use modelling results to inform budget allocation and marketing strategy. Data Management and Analysis: Collect, clean, and analyze data from various sources to support modelling … focus on test & control analysis and marketing mix modeling. Prior experience in a consulting or agency setting is a plus. Technical Skills: Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL). Strong understanding of statistical modeling, forecasting, and data analysis techniques. Experience more »
identify, measure, and mitigate market risk exposures associated with the Solutions business. 3. Exotic Derivatives Expertise: Possess a deep understanding of exotic derivatives products, modelling, pricing and their market risk profiles. 4. Risk Assessment: Conduct regular assessments of market risk exposures, stress testing scenarios, and sensitivity analyses to assess … Proven leadership experience, with the ability to effectively manage and develop a team of risk professionals. - Excellent analytical skills, with proficiency in quantitative analysis, statisticalmodelling, and risk assessment techniques. - Solid understanding of regulatory requirements related to market risk management (e.g., Basel III, FRTB). - Advanced proficiency in more »
see: A minimum of 3 years' commercial experience as a Data Scientist Strong Python proficiency as well as its related libraries Strong foundation in statisticalmodelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies Experience working on cloud-based infrastructure (e.g. AWS, Azure more »
adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »
Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take more »
data-driven insights that inform business strategy and decision making. The Insight Analyst will work cross-functionally to understand key business challenges and leverage statistical modeling, data analysis, and visualization best practices to provide solutions. Responsibilities: Partner with stakeholders across the business to identify and frame key questions that … lend themselves to data-driven insights Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy Analyze multivariate datasets using statistical programming languages like SQL, Python … decision makers Continually seek out ways to improve analytical methods and recommend enhancements supported by data Requirements: 3+ years professional experience conducting quantitative and statistical analysis Expert skills in SQL, Python, statistical analysis packages Knowledge of data mining, modeling, and visualization methodologies Strong math and statistical acumen more »
external sources Organize, cleanse, and validate raw data to prepare for analysis Perform exploratory analysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools Develop insightful reports, presentations, and dashboards to concisely summarize analysis and effectively communicate findings Make recommendations for business process … from various business areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst or related quantitative role Strong grasp of data structuring, statistical modeling and analytics tools SQL (MUST) and Python programming skills (Optional); experience building data pipelines Knowledge of visualization and business intelligence tools like Qlik more »
to build a SaaS product. You will be working closely with the CEO, CTO and the wider engineering teams to help develop and improve statistical models. Responsibiliti esImplement, monitor and deploy statistical/ML mode lsShape the future tech-stack to enhance ML/AI capabiliti esImprove Data more »
Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statisticalModelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »
Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statisticalmodelling Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work Is … passionate about using customer data & statistical/technical expertise with proven experience to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player What you’ll get for this role: Our purpose - with you today, for a better more »
and pricing. REQUIREMENTS: Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, or Computer Science. Proven experience in machine learning and statistical modeling, with a focus on credit risk and pricing within the financial/lending industry. Strong programming skills in languages such as Python or more »
