City of London, London, United Kingdom Hybrid / WFH Options
Adecco
integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »
City of London, London, United Kingdom Hybrid / WFH Options
Henry Nicholas Associates Ltd
driving commercial growth. Leading and managing SEO teams, cultivating talent while optimizing workloads and resources. In-depth knowledge of SEO principles and search engine algorithms, alongside proficiency with top-notch SEO tools. Adept at absorbing new techniques to fortify client search rankings against algorithm updates. Proven commercial mindset, making strategic more »
working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively more »
CMC Markets strives to provide the best trading experience for a wide spectrum of clients to participate in the financial markets. In order to expand this team, we are looking for an experienced Senior Quantitative Analyst to join our fast more »
Python, SQL. Strong AWS experience Knowledge of Data Structures and Databases Knowledge of data privacy laws and compliance requirements. Experience with Data Analytics/algorithms would be nice to have but training will be provided for the right candidate Excellent communication and collaboration abilities. Desirable Experience with Typescript Experience with more »
Excellent communication skills and ability to work in a 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 »
depth understanding of or strong knowledge in either C#, C++ or other object orientated languages such as Java or Python Good familiarity with common algorithms and data structures and their performance trade-offs An ability to own all aspects of development projects from start to finish A desire to understand more »
trading and risk technology software development teams, strongly emphasising agile methodologies and best development practices. In-depth understanding of trading workflows, market data, execution algorithms, and risk management principles. Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication, negotiation, and more »
working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively more »
include? · Contribute to the development of the reinsurance pricing platform. · Develop core-components that can be reused in various pricing tools. Develop various pricing algorithms to enable pricing sophistication. Share best practices with pricing actuaries who will use the platform for their own development. · (Re-)design and (re-)build new more »
with either Python, Java, Scala, Go, C# or similar technologies Experience in system design and awareness of best practices Familiarity with data structures and algorithms Good communication skills You can apply for the role directly or contact Ionut Roghina on iroghina@trg-uk.com if you have any questions. Don't more »
To act as the EMEA FCMO subject matter expert on the sanctions screening, transaction monitoring and fraud systems and the rule sets, logic and algorithms utilised within them. Assist with the testing and configuration of technology updates, system upgrades, and new system implementations within the Transaction Control and Transaction Monitoring more »
clean, and explore customer data from various sources. Identify patterns, trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to more »
No politics, a close-knit team with great growth potential. You will work with a great reputable leader and learn tremendously. Requirements: Build trading algorithms FX, Credit, Futures, Bonds, commodities, experience Create high-quality predictive signals From 10+ PNL leveraging your existing experience, signals, and models Withholding periods from hours more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms Deep understanding of interest Rates and FX derivative models Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience Morgan more »
data from various sources. • Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to more »
development and project delivery life cycles (for things such asactuarial/risk reporting models and tools, and derivation of new pricing/risk management algorithms) Good awareness of the IT technologies and delivery techniques used to build and implement the financial and analytical modelling systems. Including processes used by actuaries more »
London, England, United Kingdom Hybrid / WFH Options
Mastercard
to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are curious and want to understand how new architectures and technologies can add value to FCS products. You more »
data science solutions 2/Manage delivery and scaling of existing models • Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution. • Implement Agile practices to scale development of individual solutions across distributed cross-functional teams • Lead … of experience in data science with at least 2 as a people manager • Strong experience in Python • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics. • Highly structured and organized with the ability to plan work to maximize the team's productivity and effectiveness. • Deep understanding of the more »
measurable results. Prior experience in a leadership or managerial role, overseeing a team of paid social specialists. Deep understanding of paid social media platforms, algorithms, targeting options, and best practices. Proficiency in using social media advertising tools such as Facebook Ads Manager, LinkedIn Campaign Manager, Twitter Ads, etc. Strong analytical more »
bring-up, debugging, and characterisation - Debugging and Characterisation of first-off hardware - Biological or Sensor signals - Digital signal processing experience with modulation/demodulation algorithms Please apply or send your CV over to Jessb@vantagetalent.com I look forward to hearing from you more »
London, England, United Kingdom Hybrid / WFH Options
BBC
Solid understanding of software development principles, design patterns and best practices • Experience in feature engineering, data pre-processing, data pipelines • Experience building ranked retrieval algorithms to support end users querying for data • Practical experience of writing ranking functions in custom engines or frameworks like Elasticsearch, Solr, or Lemur/Indri … or recommended algorithms • Experience of Infrastructure-as-Code tools such as CDK, CloudFormation • Knowledge of writing automated tests and taking a TDD approach to your work • An aspiration for engineering excellence, using knowledge sharing to learn from each other The selection process: We run virtual assessment centres on Thursday mornings more »
About us Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all more »
right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in … least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
