Applied AI & Machine Learning Associate – Markets Operations

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology. As an Applied AI & Machine Learning Associate in Markets Operations, you will play a pivotal role in driving innovation by developing scalable machine learning solutions that enhance banking operations and client services. Based in our London office, you will work within the Predictive Science category, leveraging AI to streamline trade execution, risk management, and operational efficiency in one of the world's largest investment banks. This role offers the opportunity to collaborate with global teams, tackling real-world challenges in high-volume financial markets where precision and speed are paramount. Your primary focus will be on building and deploying AI models that address key pain points in markets operations, such as automating reconciliation processes, predicting operational disruptions, and optimizing client servicing workflows. You will partner with quants, traders, and operations specialists to derive insights from vast datasets, including real-time market data and transaction histories. Utilizing advanced techniques like deep learning and ensemble methods, you will contribute to JP Morgan's commitment to responsible AI, ensuring models are robust, explainable, and compliant with stringent financial regulations. This position demands a blend of technical expertise and domain knowledge to deliver tangible business impact. Joining JP Morgan Chase means becoming part of a dynamic culture that values innovation, diversity, and professional growth. You will have access to state-of-the-art resources, mentorship from industry leaders, and opportunities to influence strategic initiatives across our Markets division. If you are passionate about applying AI to revolutionize finance and thrive in a collaborative, fast-paced environment, this role will allow you to make a lasting contribution to our mission of powering the progress of global markets.

Key Responsibilities

• Develop and deploy scalable machine learning models to optimize markets operations, including trade processing, settlement, and reconciliation
• Collaborate with data scientists, engineers, and operations teams to identify AI-driven opportunities for improving efficiency in banking workflows
• Analyze large datasets from financial markets to build predictive models for anomaly detection, fraud prevention, and risk assessment
• Integrate AI solutions into JP Morgan Chase's proprietary platforms to enhance client services and operational resilience
• Conduct model validation, testing, and performance monitoring to ensure compliance with internal standards and regulatory guidelines
• Drive innovation by prototyping advanced AI techniques, such as natural language processing for market sentiment analysis or reinforcement learning for trading optimization
• Communicate complex technical findings to non-technical stakeholders, including senior management in Markets Operations
• Stay abreast of emerging AI trends and technologies to recommend improvements in JP Morgan's operational infrastructure
• Contribute to the ethical deployment of AI, ensuring fairness, transparency, and bias mitigation in financial applications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field
• 2-4 years of experience in machine learning, AI, or data science roles within financial services or a related industry
• Proficiency in Python, R, or similar programming languages for developing ML models
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques
• Experience with data processing, feature engineering, and model deployment in production environments
• Knowledge of financial markets, trading operations, or banking processes
• Ability to work collaboratively in cross-functional teams in a fast-paced environment

Preferred Qualifications

• Master's or PhD in a quantitative discipline such as AI, Statistics, or Engineering
• Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)
• Prior work in markets operations, risk management, or quantitative finance at a major bank
• Familiarity with regulatory requirements in financial services, such as GDPR or MiFID II
• Certifications in machine learning (e.g., Google Professional ML Engineer) or financial modeling

Required Skills

• Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Data manipulation and analysis (Pandas, NumPy, SQL)
• Statistical modeling and predictive analytics
• Financial data handling and market microstructure knowledge
• Cloud computing and deployment (Docker, Kubernetes)
• Version control and collaboration tools (Git, Jira)
• Problem-solving and analytical thinking
• Communication and presentation skills
• Team collaboration and stakeholder management
• Ethical AI practices and bias detection
• Big data processing (Spark, Kafka)
• Model optimization and scalability techniques
• Regulatory compliance in finance
• Innovation and creative problem-solving
• Time management in high-pressure environments

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health support
• Flexible work arrangements, including hybrid options in London
• Global mobility and career advancement within JP Morgan Chase's diverse business lines

JP Morgan Chase is an equal opportunity employer.