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- Tasks: Develop AI-powered solutions for digital rights and market data discovery.
- Company: Join JPMorgan Chase's innovative Market Data team in the Commercial & Investment Bank.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact by working on cutting-edge technology in a dynamic environment.
- Qualifications: Experience with LLMs, Python, and AI/ML libraries is essential.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Engineer Associate at JPMorgan Chase in the Market Data team, Commercial & Investment Bank (CIB), you will promote innovation in digital rights and market data discovery by developing advanced AI-powered solutions. As a key contributor, you will leverage your expertise in GenAI, AgenticAI, Python, RAG, and MCP to build and optimize the SCUDO platform—an industry-leading, patented application for digital rights management and market data discovery.
You will collaborate with cross-functional teams to deliver high-impact solutions that enhance business user experience, workflow efficiency, and cost transparency. As an Associate Engineer in the Market Data Services team, you will be instrumental in extending SCUDO’s capabilities from digital rights management to a multi-module platform, embedding generative AI for contract data extraction, market data query answering, and AI-driven analytics dashboards. You will be recognized for your technical acumen in AI document parsing, LLM integration, and data management.
Job Responsibilities- Design, develop, and maintain advanced solutions for automating extraction, processing, and management of information from diverse document types (PDFs, Word files, scanned images, etc.)
- Leverage OCR, NLP, and machine learning technologies to accurately parse and structure unstructured and semi-structured data
- Optimize the accuracy, performance, and scalability of document parsing pipelines; maintain technical documentation and provide training/support to stakeholders
- Document integration architectures, protocols, and operational procedures
- Validate data contracts and usage rights, ensuring compliance and optimal utilization
- Work extensively with RDF data, utilizing SPARQL for graph queries
- Manage and query data using SQL for Oracle databases and No-SQL DSL for ElasticSearch
- Collaborate with stakeholders to ensure data solutions meet business and regulatory requirements
- Actively participate in Agile ceremonies and two-week sprint cycles
- Stay current with advancements in MCP, LLMs, and AI integration technologies
- Hands‑on experience with large language models (LLMs) and GenAI frameworks
- Proficiency in Python and AI/ML libraries
- Experience with retrieval systems, vector databases, and search technologies
- Familiarity with RAG architectures and best practices
- Understanding of prompt engineering, model fine‑tuning, and evaluation
- Demonstrated ability to validate data contracts and usage rights, strong expertise with RDF data and SPARQL graph query languages
- Experience with document parsing technologies (OCR, NLP, machine learning)
- Proficient in SQL for Oracle and No‑SQL DSL for ElasticSearch
- Knowledge of MCP server technology
- Track record of developing and implementing data management policies and best practices
- Excellent communication and stakeholder management skills, experience working in agile teams
- Experience with AWS Neptune, AWS Glue, ElasticSearch, and Oracle database products is beneficial
MDS Digital Rights Software Engineer III in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MDS Digital Rights Software Engineer III in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to AI, Python, or document parsing. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and GenAI frameworks. Be ready to discuss how you've used these technologies in past projects—real-world examples will impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace MDS Digital Rights Software Engineer III in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, AI/ML libraries, and any relevant projects you've worked on that showcase your ability to develop advanced solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how your background aligns with our needs. Mention specific technologies like LLMs and GenAI frameworks that you’ve worked with, and how they can contribute to the SCUDO platform.
Showcase Your Projects: If you've worked on projects involving document parsing, data management, or AI integration, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, AI/ML libraries, and the specific technologies mentioned in the job description, like LLMs and GenAI frameworks. Be ready to discuss how you've used these tools in past projects and how they can be applied to the SCUDO platform.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data management challenges, especially involving document parsing and unstructured data. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's Market Data team and their goals. Think about how your role as a software engineer can enhance business user experience and workflow efficiency. This will show that you're not just technically savvy but also understand the bigger picture.
✨Be Agile and Collaborative
Since the role involves working in Agile teams, be prepared to discuss your experience with Agile methodologies. Share how you've collaborated with cross-functional teams in the past and how you can contribute to the team's success in delivering high-impact solutions.
