for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »
City of London, London, United Kingdom Hybrid / WFH Options
GMA Consulting
an excellent reputation both in the UK and abroad. THE ROLE You'll lead and support projects that continually improve predictiveness and segmentation of statistical models of claims. You'll work across various products and channels using both, traditional and data science/contemporary techniques. What you'll be … Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. Robust knowledge and understanding of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills & initiative whilst working to strict deadlines. Effective communication … to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. more »
dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … 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 to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »
issues, and will lead and participate in the successful planning, implementation and delivery of large complex projects. With an advanced understanding of mathematical and statisticalmodelling tools, the successful candidate will additionally possess experience managing stakeholders at all levels. Advanced knowledge of Excel and Psicle is preferred. A 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. Role more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others 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 »
Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques 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 »
anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … 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 quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »
business decisions, as well as software and product development activities. What you’ll do: Support data extraction and analysis for clients Build and review statistical models to predict customer behaviour as risk and demand. Develop and implement pricing strategies. Synthesize and communicate strategic recommendations to key internal and client … presentations, and other technical sales support as needed. You’ll do it using: Fluent German Speaker Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility 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 »
models and pipelines for the clients devices. Implementing and optimising pre-processing pipelines. Collaborating with software engineers to integrate models into production systems. Conducting statistical analysis/modelling on clinical trial data to assess device performance. Drafting technical documentation for regulatory compliance. Ensuring best practice in regard to … data management, version control and model documentation. You will bring the following: Strong statistical expertise. Image processing/computer vision skills. Proficiency in modelling multivariate problems. Ability to develop algorithms from data analysis. Proficient in Python programming for data manipulation. Desirable - Commercial software development experience. Desirable - Exposure to 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 »
that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To be successful when applying for this role you will need: with owning the data visualisation platform within Tableau … experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data teams with a commercial outlook and working with subscription metrics to the education industry is a nice to 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 »
client is a systematic, multi-strategy hedge fund, seeking to grow its systematic equity business. They require an experienced quant PM skilled in developing statistical arbitrage equity strategies. The ideal candidate will possess expertise in alpha research, data analysis, and Python and/or C++ programming; and will gain … investment portfolio MSc/PhD from a top tier university Strong technical background in mathematics and statistics Good technical knowledge of, and proficiency in, statistical models, signal generation, back-testing, simulation and statistical techniques Data-mining and analysis skills with previous experience in working with large datasets would 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 »
clients within the Financial Services space and more. This role offers the chance to work on a really diverse range of projects, from scorecard modelling to strategy work, and could really see you take your career to the next level. THE ROLE This role would see you work with … a range of clients on projects including: Re-develop and enhance statistical models, specifically scorecards, to drive insight into the customer journey and enhance business performance Design credit risk strategies and provide support on wider lending and fraud strategies including optimization and analysis Provide wider ad hoc analysis and … external stakeholders and collaborating with businesses to communicate improvements and really make an impact YOUR SKILLS AND EXPERIENCE Previous experience in developing scorecards and statistical models is highly desirable Exposure to scorecard models is an essential requirement Prior experience in driving and optimising credit risk strategies Prior exposure to more »
self-serve data access Perform ad-hoc analysis and insight per operational meetings be that shallow or deep dive Building data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To be successful when applying for this role you will need: Experience with owning the data visualisation platform within … Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with a wide range of data teams with a commercial outlook and working with subscription metrics Exposure to the education more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
quality and integrity Build, calibrate, and validate marketing mix models to assess the impact of different marketing channels on business outcomes Conduct in-depth statistical analyses to uncover patterns, trends, and opportunities for optimisation Communicate findings and recommendations to both technical and non-technical stakeholders through clear and compelling … reports Skills & Experience Experience in econometrics or marketing attribution Strong statistical knowledge Skilled in model development, particularly marketing mix models. Proficiency in statistical software such as R, Python, Eviews or similar Strong communication skills The Benefits £400-£450 per day, outside IR35 and an initial 3 month contract … please send your CV to Luke via the Apply Link on this page. Desired Skills and Experience - Experience in econometrics or marketing attribution - Strong statistical knowledge - Skilled in model development, particularly marketing mix models. - Proficiency in statistical software such as R, Python, Eviews or similar - Strong communication skills 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 »
