דרושים Director Data Engineering ב-גיי פי מורגן ב-בריטניה

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)

As a Lead Software Engineer - Front-End Engineer at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.

Job responsibilities:

• Collaborate with cross-functional teams to define, design, and ship new features.
• Create and maintain clean, efficient, and reusable codebase.
• Conduct thorough testing to ensure robustness and reliability of applications.
• Troubleshoot and debug issues, ensuring smooth application functionality.
• Communicate effectively with stakeholders to gather requirements and provide progress updates.
• Mentor junior developers, providing guidance on best practices and code reviews.
• Stay updated with the latest industry trends and best practices in mobile development.
• Drive continuous improvement initiatives to enhance development processes and workflows.
  

Required qualifications, capabilities and skills

• Formal training or certification on JavaScript concepts and proficient advanced experience
• Strong knowledge of JavaScript, TypeScript, and ES6+ syntax
• Ability to write testable, clean JavaScript code
• Familiarity with writing unit tests
• Ability to work in a dynamic, agile environment within a geographically distributed team
• Ability to focus on promptly addressing customer needs
• Excellent written and verbal communication skills in English

Preferred qualifications, capabilities and skills

• Proficiency in React framework
• Building applications using React Native in TypeScript or JavaScript
• Native application development across Android / iOS in Kotlin / Swift
• Understanding of REST APIs and GraphQL
• Comfortable working with projects partially or fully using TypeScript
• Using latest React features such as Suspense and Hooks
• End to end testing applications with Detox / Appium / WebdriverIO

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

Job Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

As the Risk Technology UI & Workflow Platforms Lead at JPMorgan Chase within the Risk Tech organization, you will lead a technical area and promote impact across teams, technologies, and projects within various departments. You will leverage your extensive knowledge of software, applications, technical processes, and product management to oversee multiple complex projects and initiatives. In this role, you will serve as the primary decision maker for your teams, fostering innovation and ensuring effective solution delivery.

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Develops and maintains a product roadmap outlining the planned features and enhancements
• Monitors product performance and user feedback to identify areas for improvement and make data-driven decisions
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient expert experience
• Significant experience of developing or leading cross-functional teams of technologists
• Experience of building technical platforms/products and achieving adoption across a large organisation
• Proven experience of leading a product as a Technical Product Owner or Technical Product Manager
• Proven understanding of platform architecture and development
• Excellent leadership, communication, and interpersonal skills
• Skilled in hiring, developing, and recognising talent

Preferred qualifications, capabilities, and skills

• Financial Services experience
• Degree qualified