דרושים Machine Learning Scientist - Time Series Reinforcement ב-גיי פי מורגן ב-United Kingdom, England, London

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

In our full-time program, we offer two design specialties:

Job responsibilities

• Collaborate with Experience Leads to design and refine product experiences.

• Work with UX Researchers and Lead Designers to conduct user research and usability testing.

• Engage in ideation and prototyping to develop innovative solutions that meet requirements.

• Create diagrams of product interactivity, including user flows and wireframes.

• Develop detailed designs using our Design System.

• Integrate Accessibility and Inclusive Design practices.

• Present and explain design decisions to Design Leads and the Product Team.

Required qualifications, capabilities, and skills

• Pursuing a bachelor's degree in relevant design discipline (e.g., Interaction Design, HCI, User Experience Design) in a related field (e.g., Business Administration, Psychology, Sociology, Anthropology, Engineering, Communications, etc.)

• Expected graduation date of December 2025 - June 2026.

• Digital portfolio demonstrating the ability to think from the perspective of the user, including the ability to communicate the following stages for Experience Design, Experience Research: Problem, Ideation, Testing, Solution, Impact and Reflection.

Preferred qualifications, capabilities, and skills

• Familiarity with user-centered design approaches.

• Proficiency in Interaction Design and Visual/UI Design or Information Architecture.

• Experience with user-centered design practices.

• Developing skills in User Research, UX Writing, and Prototyping.

• Understanding of Accessibility Guidelines and Inclusive Design practices.

• Basic communication and presentation skills, including explaining design decisions.

Program Locations

• London, UK

After you confirm your application, we will review it to determine whether you meet certain required qualifications.

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HireVue is required, and your application will not be considered for further review until you have completed this step. We strongly encourage that you apply and complete this required element as soon as possible, since programs will close as positions are filled.

Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.

ABOUT THE PROGRAM

Your professional growth and development will be supported throughout the internship program via project work related to your professional interests, mentorship, engaging speaker series with senior leaders and more.

Job responsibilities

• Create innovative solutions that make a difference for our customers, clients, and employees.
• Work on agile teams with peers and experienced data scientists

Required qualifications, capabilities and skills

• Pursuing a Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or related major with analytically rigorous coursework, including at least one completed course related to quantitative analytics with an expected graduation between December 2025 and August 2026
• Knowledge of and proficiency in Python and willingness to learn and apply other languages such as SQL

Preferred qualifications, capabilities and skills

• Knowledge of machine learning / data science theory, techniques and tools and experience working with large disparate data sets
• Experience in mathematics and statistics modelling
• Awareness of big data technologies (Hive, Hadoop, Spark) and/or computer clusters
• Awareness of standard analytical tech stacks (Jupyter Notebooks, AWS, Spark, PyTorch, R, etc.)
• Strong communication skills and the ability to present findings in an understandable manner to a non-technical audience
• Clearly explain thought processes and understand instructions, while actively seeking clarification when needed
• Knowledge about applications of statistics, analytical methods, and large language models (LLMs) would considered be a plus

Locations you may join:

• London, UK
• Glasgow, UK

After you confirm your application, we will review it to determine whether you meet certain required qualifications.

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HackerRank and HireVue are required, and your application will not be considered for further review until you have completed these steps. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.

Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.

As a Senior Data Scientist in Asset Management’s Data Science team, you will design and implement machine learning solutions that enhance our ESG and Stewardship functions. You will work closely with stakeholders across stewardship, ESG, and engineering to build innovative tools from the ground up. Your technical expertise will drive impactful results, and you’ll play a key role in shaping our data science capabilities. You’ll thrive in a collaborative culture that values hands-on problem solving and continuous learning.

Job Responsibilities:

• Collaborate with internal stakeholders to gather requirements and understand business needs
• Develop technical solutions using LLMs for search, content extraction, and principles-based reasoning
• Build comprehensive testing packages to ensure solution efficacy and stakeholder trust
• Design technical architectures and solutions for scalable implementation
• Partner with engineering teams to deliver high-quality, scalable outputs
• Stay current with developments in data science and become a subject matter expert
• Communicate complex concepts and results to both technical and business audiences

Required Qualifications, Capabilities, and Skills:

• Advanced degree in a quantitative or technical discipline, or significant practical industry experience
• Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
• Advanced Python programming skills with experience writing production-quality code
• Strong understanding of ML algorithms including clustering, decision trees, and gradient descent
• Knowledge of language models, prompt engineering, model finetuning, and domain adaptation
• Familiarity with deep learning frameworks and their latest developments
• Ability to communicate complex concepts and results to technical and business audiences

Preferred Qualifications, Capabilities, and Skills:

• Experience in Asset Management
• Business domain knowledge in ESG, investment stewardship, proxy voting, corporate filings, or buyside investment
• Familiarity with model explainability and self-validation techniques
• CFA or equivalent financial qualification

Job spec customisation requirements:

• Job responsibilities :
  • Lead the development and maintenance of machine learning models to solve complex business problems
  • Develop the technical skills of junior colleagues through mentorship and training
  • Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
  • Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
  • Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
  • Identify the right state of the art solutions for the bank’s objectives and manage colleagues to implement them as clean, production-ready code
  • Communicate findings and recommendations through clear and concise reports and presentations
• Required qualifications, capabilities and skills
  • Experience leading teams to deliver production machine learning solutions
  • Proficiency in Python and SQL and familiarity with good software engineering practices
  • Excellent written and verbal communication
  • Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
  • Solid intuitive grasp offundamentalconcepts from probability, statistics, linear algebra and calculus
  • Collaborative, humble and enthusiastic attitude
• Preferred qualifications, capabilities and skills
  • Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
  • Experience in deep neural networks and familiarity with the latest developments in related fields
  • Experience in LLM model finetuning and continuous learning techniques
  • Experience in prompt engineering techniques and state-of-the-art LLM architectures

Job responsibilities:

• Explore how money moves through our network and around the world - working in close partnership with teams selling, developing and creating Payments’ products, including consumer-to-business payments, FX, trade finance and more, turning data into insights to impact the strategy and direction of JPM products.
• Forge close collaborations with internal stakeholders to discern intricate data requirements and deliver actionable insights
• Follow a management consulting type approach to identify and prioritize use cases (through impact orientation, business understanding, program management, executive presence)
• Combine strong analytical thought process with hands on technical skills to solution and advance thinking to "best in class"
• Articulate complex information concisely when communicating to internal stakeholders
• Collaborate with product managers to contribute to the development of robust data assets that power analytical solutions

Required qualifications, capabilities, and skills:

• Applied years of relevant experience in Data Science and Analytics Solutions
• Expertise in SQL
• Expertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc.
• Experience in management consulting
• Bachelor's Degree in Engineering /Computer Science/ Statistics/Mathematics or other relevant fields

Preferred qualifications, capabilities, and skills:

• Experience in the payments industry and/or technology-enabled industries
• Experience in cloud computing platforms such as AWS
• Team player with commitment and dedication, maintaining a positive attitude and high performance on high-profile/time-sensitive experiments.
• Experience in problem solving and innovating
• Familiarity of application development process a plus
• Experience in programming

Job responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research
• Ability to conduct literature research in unfamiliar fields
• Hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics and familiarity with the financial services industries;
• Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement
• Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests;
• Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal