2,551 to 2,575 of 6,084 Analytics Jobs in London

RoleThe Data Operations team is seeking a data expert responsible for ensuring that vendor and internal investment data used across Fidelity's investment processes, analytics platforms, and decision-making workflows are delivered consistently, accurately, and on a timely basis. The Data Operations team are the stewards of data … quality issues with internal and external partners, and develop automated controls to ensure high-quality data for investment decision-making. Experience working with risk analytics datasets from leading vendors such as Barra, Axioma, Northfield, and Bloomberg, along with a basic understanding of market risk models and portfolio risk management concepts ...

helping one of the world’s great financial institutions recruit a Data & Analytics Consultant - to help develop scorecards. Consultants are responsible for providing external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit … strategy development, model development and other bespoke analytics to solve client specific problems. The role involves using data mining tools and programming languages such as (SQL and Python) to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. ...

most business-critical engineering groups in the firm – focused on designing and scaling cutting-edge risk systems that power real-time and historical analytics for PMs, risk officers, and senior leadership. As part of this team, you’ll be building foundational components to support stress testing, equity factor models … risk decomposition, and analytics tooling. You’ll also contribute to scaling the firm’s large-scale data systems and driving modernization efforts across risk technology. You'll work in a highly technical environment using Python and have the opportunity to contribute to high-performance architecture, cloud-based data platforms ...

initiatives. Develop business cases, track benefits realisation and report value delivery. Drive adoption of digital products and embed new ways of working. Leverage data, analytics and AI to improve operational decision making. Required Experience Proven experience leading product portfolios, transformation programmes or digital initiatives. Strong stakeholder management, including Director … scale operations. Track record leading cross-functional teams and delivering measurable business outcomes. Strong commercial, strategic and problem-solving skills. Exposure to data, optimisation, analytics and AI-led products. Ideal Background Senior Product Manager/Product Lead Portfolio or Transformation Lead Strategy Consultant who has moved into industry Digital Operations ...

sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation … within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating ...

delivery (CI/CD) Make data-guided decisions affecting core business metrics and processes Apply platform and reliability engineering practices, including observability, performance optimisation, analytics, and security best practices Facilitate collaboration between teams and promote continuous improvement Mentor junior engineers on engineering practices, coding standards, and troubleshooting Contribute … Continuous Integration and Delivery (CI/CD) Infrastructure-as-Code Hard Skills Application Development Performance Optimisation Automation Development Containerisation Development Methodologies Design Patterns Observability Analytics Security Best Practices Troubleshooting Soft Skills Mentoring Collaboration Continuous Improvement Industry Keywords Public-Facing Systems Internal Insurance Systems Tools & Technologies AWS Lambda DynamoDB Azure Cloudflare ...

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform … quantitative background and experience, this may be just the team for you. Job responsibilities Work with business leads to develop AI/ML-driven analytics and automation that support their business goals. Build up a scalable data architecture to handle the large volume of transaction data. Automate existing manual processes ...

join our Credit Trading Quant team, which works in the front office, delivering technological solutions for Credit Trading into production. The team owns the analytics and e-trading roadmap for credit trading in partnership with desk heads, with accountability for prioritisation, delivery, and realised business impact. We develop the foundational … platform and analytics that enable performant e-trading for credit flow. We research systematic trading ideas that predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing real-world data sets. We develop and deploy those ideas into production to positively impact ...

gathering and preparing data for catastrophe analyses, by reviewing exposure data for accuracy, validity, and identifying abnormalities. The candidate will perform catastrophe risk analytics necessary for reinsurance evaluation under the guidance of senior team members. The position requires a self-starter who manages moderately complex analyses in partnership with internal … prepare data and interpreting insurance terms to catastrophe model. Incorporate data into spatial visualization tools to assist in monitoring aggregations and profitability analytics suited to company underwriting objectives and corporate portfolio objectives. Assist senior team members in preparing and formatting summaries, presentations, and reports into clear, concise deliverables of potential ...

security across complex datasets. Eligibility for UK Security Clearance is required. You will collaborate with stakeholders and contribute to data warehouse, lakehouse and analytics #J-18808-Ljbffr ...

highly consultative Senior Data Analyst/Business Data Analyst with Azure data platform expertise. You will work with business stakeholders to translate requirements into analytics solutions and dashboards. The role is hands-on, performing rapid data investigations, building proof-of-concept analyses, and bridging business needs with technical data solutions ...

work alongside the Senior Product Manager to help shape and deliver product enhancements that support researchers and scholarly communities. You will collaborate with engineering, analytics, operations, and content teams to turn user and business needs into clear product requirements, helping deliver meaningful improvements through data-informed decision making. Responsibilities Write … ensuring stories are sprint-ready and clearly defined Work with stakeholders across development, operations, and content teams to gather, clarify, and document requirements Produce analytics reports and interpret outputs, including insights generated through AI-supported tools Maintain backlog hygiene through grooming, sequencing, labelling, and prioritisation activities Run or support Sprint ...

research and production codebase supporting a live systematic options strategy Monitoring, troubleshooting, and improving the operation of approximately 200 live transforms and related analytics Working directly with the PM and researcher to implement quantitative research ideas into robust production systems Building tools and dashboards providing visibility into positions, signals, risk … ability to balance engineering excellence with the pace required in an investment team Nice To Have Experience with options, derivatives, volatility strategies, or risk analytics Experience with signal pipelines, research platforms, backtesting systems, or live trading infrastructure Experience building monitoring tools, dashboards, or operational analytics platforms Familiarity with distributed computing ...

drive decisions. You’ll contribute to growing Unifeye’s BI capability, mentor colleagues, and help establish reporting standards while staying current with Databricks analytics and AI/BI trends. #J-18808-Ljbffr ...

house engineering team. Two priorities define the next year: migrating data between our two live production systems, and building the data and analytics foundations behind our quality-risk scoring. Core Responsibilities Lead architectural decisions across backend, cloud infrastructure and data systems Own the data model, semantic layer and cross-customer … comparability behind our analytics and scoring Lead the migration between our two live production systems, ensuring integrity and minimal disruption Move analytics infrastructure onto a server-side foundation Contribute hands-on to engineering delivery Lead the in-house team of five and coordinate outsource delivery partners Sit on the senior ...

impactful, data‐driven solutions to real‐world business challenges. The Opportunity As a Sales Engineer, you’ll operate at the crossroads of data engineering, analytics, and stakeholder engagement. You’ll be embedded directly into client teams, helping to scope business needs, define solution architecture, and implement scalable data products that … Acting as a trusted advisor, helping clients understand the impact and value of data solutions Skills and Experience Proven experience in a data engineering, analytics, or solutions architecture role Strong proficiency in Python and SQL Ability to translate complex technical concepts into business‐friendly language Excellent client communication skills, with ...

navigating audits, committees and regulatory scrutiny Technology resilience: ensuring appropriate disaster recovery, business continuity, security controls and operational resilience are in place Data & analytics: helping evolve a B2B data-processing platform, with a strong understanding of data pipelines, models, analytics and the challenges of working with high-value financial data … depth to get into the detail rather than operating purely at a strategic level Experience working with data platforms, data processing, data models and analytics Strong understanding of GDPR, information security, resilience and regulatory governance Some experience with SOC 2 Type 2/ISO 27001, including implementing controls, preparing ...

developer environments, enterprise guardrails, or policy enforcement (desirable) Experience with containerised development environments or remote/offloaded development models (desirable) Exposure to telemetry, usage analytics, or engineering reporting pipelines (desirable) Experience in regulated or control-heavy enterprise environments (desirable) Some data engineering or analytics capability, particularly where reporting and insight ...

colleagues from across our business and start to develop your professional network. About the Division: GSA owns and develops many cutting-edge quantitative analytics and projects. GSA started with delivering pricing and risk solutions to Sales & Trading and the majority of GSA internship topics have been around Fixed Income … Currencies (FIC) activities. The following teams are offering roles: DB Analytics is the front office cross-asset quant team in charge of the research and development of Deutsche Bank’s pricing models. The DB Analytics library is the inner mathematical layer of every DB pricing and risk management system ...

Daintta is a growing data engineering consultancy partnering with government clients to deliver data-driven insights. You will develop pipelines for analytics, ML and business intelligence in a security-conscious environment. The role requires 3+ years in data engineering, strong experience with Spark, Python, Kafka, SQL and Airflow ...

through the lense of customer experience. You’ll work at the intersection our solutions focus on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact. If you’re passionate about using data … Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Has commercial experience including responding to RFP/ ...

EPAM Systems in London is seeking an AI Consultant to lead AI and ML initiatives for financial services, combining risk, compliance, and analytics expertise. You will design, deploy, and govern AI solutions, collaborating with risk, compliance, and legal teams. The role requires strong Python skills, experience with cloud platforms (Azure ...

modern Lakehouse and AI data platform in London. You will contribute across ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI use cases. The role suits engineers who code in Python or Java, work with SQL, and collaborate with cross-functional teams to deliver ...

solutions across public and private sectors. We seek a Senior Data Engineer to design, build, and maintain robust data pipelines and models that power analytics and machine learning. You will collaborate with data scientists, analysts and cross-functional teams, ensuring data quality, governance and scalable architectures in cloud environments. ...

checkout completion, conversion, engagement and sales through a structured testing roadmap and insight-led optimisation strategy.Working closely with Trading, Product, Creative (UX/UI), Analytics, and Technology teams, you will champion a culture of experimentation, using customer insights and data to drive continuous improvement across the end-to-end customer … Testing & Optimisation Programme*** Own and deliver the digital testing and optimisation roadmap across all key customer journeys* Develop clear hypotheses based on customer behaviour, analytics and business opportunities* Prioritise testing opportunities using a structured impact and effort framework* Ensure testing activity aligns to business priorities and strategic objectives**Drive Conversion ...