Average Python Developer salary in Central London

Quant Modeling Lead - Python210739660T08:37:00+00:00LondonPredictive ScienceFull timeAbout the RoleAs a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting.You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands-on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production-quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders.Job ResponsibilitiesDesign, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate withDevelop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirementsImplement high-performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDBChampion test-driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliabilityTake partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plansLeverage LLM-based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivityPerform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standardsPrepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategiesPartner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processesPresent regular updates on development progress, technical decisions, and platform roadmap to senior management and cross-functional stakeholdersInvestigate and debug counter-intuitive observations in model forecasts, performing root-cause analysis at the framework and data levelRequired Qualifications, Capabilities, and SkillsBachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative disciplineMinimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech)Advanced proficiency in Python with deep experience in object-oriented design, design patterns, and building production-grade frameworks and librariesStrong working knowledge of NumPy and Pandas for numerical computing and data manipulationDemonstrated experience with test-driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest)Strong analytical, quantitative, and problem-solving skills with the ability to reason about complex model behavior and data flowsExcellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non-technical audiencesProven ability to operate as a self-starter: taking ambiguous or partially specified problems and driving them through to well-defined technical solutionsProficiency with LLM-based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code qualityPreferred Qualifications, Capabilities, and SkillsExperience with DuckDB or similar in-process analytical databases for high-performance data querying and transformationKnowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capitalExperience working with or building upon large-scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments)Familiarity with distributed computing frameworks and techniques for scaling numerical workloadsKnowledge of statistical modeling, Monte Carlo simulation, and time-series forecasting methodologiesAbility to work effectively with large datasets and practical knowledge of SQL and database systemsProven ability to build collaborative relationships with cross-functional partners including model developers, business stakeholders, and technology teamsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Senior Lead Software Engineer - Python210742907T13:52:56+00:00LondonSoftware EngineeringFull timeAre you ready to shape the future of technology in a dynamic, collaborative environment? At JPMorganChase, you'll have the opportunity to make a real impact by building and enhancing market-leading products. We value your expertise and encourage you to grow your career while solving complex challenges. Join us and be part of a team that values diversity, inclusion, and continuous learning.As a Senior Lead Software Engineer at JPMorgan Chase in the Credit Trading - Realtime Risk team, you will play a pivotal role in delivering secure, stable, and scalable technology products. You will work closely with talented professionals to drive business impact through your technical expertise and leadership. You will help shape product design, influence technical decisions, and foster a culture of innovation and respect. Your contributions will support our mission to deliver trusted solutions in a fast-paced environment.Job Responsibilities:Provide technical guidance and direction to engineering teams, contractors, and vendorsDevelop secure, high-quality production code and review and debug code written by othersDrive decisions that shape product design, application functionality, and technical operationsServe as a subject matter expert in one or more technical focus areasAdvocate for firmwide frameworks, tools, and best practices in the Software Development Life CycleInfluence peers and decision-makers to adopt leading-edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills:Practical experience delivering system design, application development, testing, and operational stabilityAdvanced knowledge of Python, with exposure to AI tooling, Kubernetes, and public cloud platforms (AWS, GCP)Strong understanding of software applications and technical processes, with expertise in one or more technical disciplines (such as cloud, artificial intelligence, machine learning, or mobile)Ability to independently solve design and functionality challengesHands-on cloud-native experienceBackground in Computer Science, Computer Engineering, Mathematics, or a related technical fieldKnowledge of Front Office post-trade, risk, and P&L in the financial industryPreferred Qualifications, Capabilities, and Skills:Experience designing and implementing distributed systems, microservices architectures, and event-driven platformsFamiliarity with messaging systems (Kafka, AMPS, TibRV) and real-time data streamingProficiency with relational and NoSQL databases, time-series data stores, and caching solutionsExperience with SQL optimization and data modeling for trading and pricing workflowsDemonstrated leadership of engineering teams, including mentoring, code reviews, and driving technical excellenceAbility to collaborate with quantitative analysts, traders, and product stakeholders to deliver scalable solutionsStrong organizational skills to manage competing priorities and communicate complex technical concepts to non-technical audiencesJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Back-end Developer (Java &Spring Boot/Python)T00:00:00.000ZLondonfullSalary: £55k to £65KMethods is recruiting for a Back-end Developer specialising in Java Spring Boot and Python to join our team within the private Sector Business unit on a permanent basis.This is a hybrid role, requiring three days a week on-site in our London office.Architectural Rebuild:Play a leading role in migrating and rebuilding our core architecture in Java Spring Boot to align with a composable, cloud-native landscape.Connector Development: Design and optimize technical connectors for a diverse mix of global channels, including generalist marketplaces, social commerce (e.g., TikTok Shop), and quick-commerce (e.g., Glovo, Deliveroo).Catalog Publication Flow: Refocus efforts on rebuilding the catalog publication flow, addressing technical complexities such as category mapping, product variant synchronization, and asynchronous marketplace APIs.Business Logic Migration: Collaborate on transferring complex legacy business rules (pricing calculations, stock filtering, and fulfilment decisions) into the dedicated BCP assets to ensure OMC focuses purely on orchestration and connectivity.System Reliability: Ensure 100% accurate real-time synchronization of stock and price updates to prevent financial discrepancies and enhance the customer experienceTechnical Skills· Java Spring Boot: Confirmed level proficiency for the architectural rebuild· Database: PostgreSQL· Cache : Redis / Valkey· Architecture: REST Architecture and Event-Driven architecture.· Cloud & Infrastructure: Google Cloud Platform GCP and Kubernetes clustersDesirableExperience with Python to facilitate the transition of legacy components.Private sector experiencesNote: This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interviewWorking at MethodsMethods exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility.We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.By joining us you can expectAutonomy to develop and grow your skills and experienceBe part of exciting project work that is making a difference in societyStrong, inspiring, and thought-provoking leadershipA supportive and collaborative environmentAs well as this, we offer:Development access to LinkedIn Learning, a management development programme and trainingWellness 24/7 Confidential employee assistance programmeSocial - office parties, pizza Friday and commitment to charitable causesTime off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each yearVolunteering - 2 paid days per year to volunteer in our local communities or within a charity organisationPension Salary Exchange Scheme with 4% employer contribution and 5% employee contributionLife Assurance of 4 times base salary