Chief Data & Analytics Office Portfolio jobs at Jpmorgan in United Kingdom, London

Job Description

Job responsibilities:

• Understand requirements, solve technical problems, propose complete solutions

• Design, develop and test software following standard SDLC

• Support PMs, BAs and management as technical SME

• Define and implement non-functional requirements

• Help team identify improvements to make to our systems and processes

Required qualifications, capabilities and skills:

• Understand Core Java and/or C++, Spring, Design pattern, Unit Testing, Threading and Messaging

• Understand Modern Software Architecture and framework, interests in Cloud computing, Machine learning and Data Science Skills

• Understand Multi-Threading, Realtime system implementation

• Understand Low-Latency event-driven systems

• Understand Design Patterns and Software Architectures

• Understand Fundamental computer science principles including operation system, network, data structure and algorithm

• Energetic, motivated, and determined

Lead the forefront of innovative solutions analysis in a dynamic tech environment, driving success through expertise in data analytics and technical program delivery.

As a Lead Solutions Analyst in Enterprise Technology, you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.

Job responsibilities

• Lead the analysis and allocation of public cloud costs, ensuring accurate and efficient financial management across the organization
• Evaluate public cloud business opportunities, collaborating with internal teams to align financial strategies with organizational goals
• Manage and execute standard monthly billing processes for public cloud providers, ensuring accuracy and compliance
• Interpret financial data to understand changes in cloud spend, providing insights into the "hows" and "whys" of month-over-month variations
• Collaborate with cross-functional teams to drive data-informed decision-making and support key business initiatives

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
• Strong proficiency in Excel and data analysis, with the ability to handle large datasets and complex calculations
• Knowledge of public cloud providers (AWS, Azure, Google Cloud) and cloud cost management tools
• Ability to interpret and analyze financial data, providing strategic insights and recommendations
• Excellent communication skills, with the ability to convey complex financial information to diverse audiences

Preferred qualifications, capabilities, and skills

• Holding a FinOps certification as well as the AWS Cloud Practitioner certification or equivalent for Azure/Google
• Strong understanding of cloud billing processes, financial reporting, and experience with cloud cost management platforms and tools
• Proven ability to work collaboratively in a fast-paced, dynamic environment
• Demonstrated ability to lead through change and manage ambiguity effectively

As a Product Solutions – Data and AI - VP in the Chief Data and Analytics Office Product and Platform team, you will enable internal teams to maximize their data and analytics outcomes using Fusion Platform Solutions and Services. You will build expertise in Data and AI domains, create high-quality documentation and training materials, and guide clients in leveraging advanced tools. You’ll collaborate across product, engineering, and architecture teams to deliver integrated solutions. Your work will help shape product strategy and drive innovation across the firm.

Job Responsibilities:

• Support internal clients in leveraging Fusion Platform capabilities for data and AI solutions
• Engage with clients to understand requirements and implement integrated solutions
• Represent product roadmaps, articulating benefits and guiding clients on best practices
• Develop AI/ML experiments, applications, tutorials, and reference implementations
• Provide feedback to product and engineering teams to influence development and strategy
• Balance multiple tasks and client engagements while staying current with industry trends
• Manage office hours to educate, demo, and collect feedback from clients
• Coordinate across product, engineering, and architecture teams to deliver solutions
• Synthesize complex information clearly and precisely for diverse audiences
• Communicate effectively with technical and non-technical stakeholders
• Adapt quickly and thrive in a fast-paced, dynamic environment

Required Qualifications, Capabilities, and Skills:

• Understanding of statistical models such as regression, tree-based methods, and neural networks
• Proficiency in at least one programming language for data analysis (e.g., Python, R, MATLAB, Scala)
• Experience applying data science and quantitative modeling to real-world financial use cases
• Knowledge of open-source data analysis tools and machine learning libraries
• Ability to create technical documentation and present to varied audiences
• Run @ AI speed
• Hands-on experience or strong understanding of LLMs, fine-tuning, GenAI chatbots, agentic architectures, and evaluation approaches
• Ability to manage ambiguity and context switch effectively
• Operate efficiently in high-speed, evolving settings
• Strong skills in synthesizing complex information
• Excellent communication skills

Preferred Qualifications, Capabilities, and Skills:

• Master’s degree in a quantitative discipline
• Knowledge of cloud-based data science and machine learning services
• Experience with large-scale and distributed data analysis tools (e.g., Spark)

Job responsibilities:

• Work with the ICB Risk COO team in support of the ICB CRO agenda.
• Collaborate wwith ICB Risk, Controls, Finance, Governance, and cross-functional partners to deliver strategic and BAU priorities
• Coordinate and collate risk responses to NBIAs, due diligence requests for investments and Post Implementation Reviews (PIRs).
• Analyze and document key business discussion and requirements, managing timelines, risks, issues, and dependencies tracking action items and other project related materials.
• Manage working group communications, reporting, and scorecards for key strategic initiatives
• Serve as a central point of contact for critical issues, facilitating timely decision-making
• Leverage subject matter experts and initiative owners to resolve project challenges
• Establish and maintain governance for key projects and processes
• Create and facilitate forums for issue resolution, progress updates, and decision-making
• Prepare meeting materials, document minutes, and ensure clear ownership of action items
• Communicate status updates to stakeholders and senior management through scorecards and milestone tracking

Required qualifications, capabilities, and skills

• Few years of experience in a second line of defence role
• Proven written and oral communication skills to present findings and influence outcomes
• Strong attention to detail in a fast-paced, results-driven environment
• Excellent multitasking and prioritization skills
• Demonstrated ability to work inclusively across functions, lines of business, and locations
• Proven capability to operate autonomously and collaboratively within a team
• Experience developing new ideas and improving processes
• Proficiency in PowerPoint (Pitch-Pro) and MS Excel

Preferred qualifications, capabilities, and skills

• Experience in project or program management within the finance industry
• Prior experience in the Consumer Banking industry

The Data Scientists in this role will:

• Analyze and measure the effectiveness of lending strategies including performance of marketing campaigns or customer segmentation
• Work with credit risk team to optimize the credit risk strategies for the lending products
• Consult with business partners on analytical needs and make strategy recommendations
• Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.
• Interpret results and present to stakeholders and senior management
• Continuously develop skills to provide best-in-class analytics to the business

Minimum Qualifications:

• Bachelor’s and Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
• Strong knowledge and experience in retail lending such as credit cards, personal loan, or overdraft products.
• Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision
• Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
• 3+ years of experience with SQL, Hive, Hadoop, Spark, Python
• 3+ years of experience in applying statistical methods to real world problems
• Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Successful candidates in this role are:

• Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
• Strong time-management skills, with the ability to multi-task and keep numerous projects on track
• Intellectually curious and eager to learn new things with an eye towards innovation
• Strategic thinkers with the ability to focus on business goals
• Excellent at solving unstructured problems independently
• Highly organized and able to prioritize multiple tasks
• Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences – across business and technology partners, including senior leadership

Job responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices

• Use domain modeling techniques to allow us to build best in class business products.

• Structure software so that it is easy to understand, test and evolve.

• Build solutions that avoid single points of failure, using scalable architectural patterns.

• Develop secure code so that our customers and ourselves are protected from malicious actors.

• Promptly investigate and fix issues and ensure they do not resurface in the future.

• Make sure our releases happen with zero downtime for our end-users.

• See that our data is written and read in a way that's optimized for our needs.

• Keep an eye on performance, making sure we use the right approach to identify and solve problems.

• Ensure our systems are reliable and easy to operate.

• Keep us up to date by continuously updating our technologies and patterns.

• Support the products you've built through their entire lifecycle, including in production and during incident management

Required qualifications, capabilities & skills

• Formal training or certification on data engineering concepts and applied experience

• Recent hands-on professional experience as a Senior Data Engineer

• Experience in coding in a recent version of the Python programming language

• Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)

• Excellent written and verbal communication skills in English

• Experience with cloud technologies and distributed systems

• Experience with data transformation frameworks and data pipeline orchestration tools

• Experience with managing large volumes of data and optimizing data processing

• Understanding of event-base architecture, data streaming and messaging frameworks

• Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.

• Manage stakeholders and effectively prioritize work across multiple work streams.

• Understanding distributed query engines

Preferred qualifications, capabilities & skills

• Experience in working in a highly regulated environment / industry

• Experience with data governance frameworks

• Experience with AWS cloud technologies

• Understanding of incremental data processing and versioning

• Understanding of RESTful APIs and web technologies

As an Investment Middle Office Service Delivery Senior Associate in Client Account Services (CAS) Team, you will be responsible for ensuring account reference data readiness for our Investment Middle Office Service clients. You will manage external client relationships and collaborate with key internal stakeholders across business, operations, and technology to fulfil client business requirements. You will enhance the client experience in routine lifecycle management by implementing straight-through processing within our robust operating model and ecosystem, ensuring accurate and efficient market setup. You will be also involved in coordinating end-to-end client account reference data requests, including product expansions, new account launches, and onboarding of new third parties.

Job responsibilities

• Manages client relationships to consistently deliver an excellent client experience.
• Coordinates client account lifecycle events with stakeholders, ensuring successful setups for fund launches, segregated mandates, new third parties, and closures.
• Fosters long-term value by nurturing relationships with clients and key internal stakeholders.
• Serves as the key liaison between functional teams, including Client Services, Operations, Technology, and Change Management.
• Collaborates with internal stakeholders to drive continuous process improvement and actively shape the future target operating model.
• Leads client and internal calls to ensure implementation deliverables are met and manage any issues that arise.
• Produces clear and concise reports for clients and internal teams, detailing toll gates, next actions, and status updates tailored to the audience.

Required qualifications, capabilities and skills.

• Experience in managing projects and events to successful completion.
• Skilled at building strong partnerships with clients, business, operations, technology, and other stakeholders within a matrix organization.
• Possess excellent oral and written communication skills with a positive attitude.
• Professional in handling escalations, prioritizing tasks, and solving problems.
• Capable of logically analyzing complex problems to meet daily Service Level Agreements (SLA).
• Detail-oriented with the ability to challenge and enhance current operating practices.
• Proficient in Microsoft Office with strong written and oral communication skills.

Preferred qualifications, capabilities and skills

• Knowledgeable in Middle Office and market functions.
• Experienced in business improvement and optimizing operating practices.
• Proven ability to work effectively in a team and adapt to changing environments