Data Science - Associate

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are redefining banking through innovation and trust, particularly with our digital bank that delivers exceptional value and seamless experiences to millions of customers. As a Data Science Associate in the Predictive Science category, based in our London office, you will play a pivotal role in leveraging advanced analytics to drive strategic decisions in the financial services industry. This position involves applying machine learning and statistical techniques to vast datasets from transactions, customer behaviors, and market trends, ensuring our digital platforms remain secure, personalized, and efficient. You will contribute to initiatives that enhance fraud prevention, optimize lending models, and personalize user journeys, all while adhering to stringent regulatory standards like those set by the FCA. Your day-to-day will focus on building robust predictive models that power real-time insights for our digital banking ecosystem. Collaborating with multidisciplinary teams, you will design experiments, validate model performance, and integrate solutions into production environments using cutting-edge tools. At JP Morgan Chase, we value innovation grounded in responsibility, so you will also ensure your work promotes ethical AI practices and data privacy, aligning with our commitment to sustainable and inclusive financial services. This role offers the opportunity to work on high-impact projects that directly influence customer trust and business growth in a dynamic global institution. We seek passionate professionals who thrive in fast-paced settings and are eager to advance their careers in data science within finance. Joining JP Morgan Chase means access to world-class resources, mentorship from industry leaders, and a culture that fosters continuous learning. If you are ready to harness predictive science to shape the future of banking, this Associate position in London is your gateway to meaningful impact.

Key Responsibilities

• Develop and deploy predictive models to enhance customer experiences in JP Morgan Chase's digital banking platform, focusing on personalization and fraud detection
• Analyze large-scale financial datasets to identify trends, risks, and opportunities for value-driven insights
• Collaborate with cross-functional teams including product managers, engineers, and compliance officers to integrate data science solutions into banking services
• Build machine learning pipelines for real-time predictive analytics, ensuring scalability and performance in a high-volume transaction environment
• Conduct A/B testing and experimentation to optimize digital banking features and improve user engagement
• Monitor and refine models to comply with evolving financial regulations and maintain model accuracy over time
• Communicate findings through visualizations and reports to senior leadership, influencing strategic decisions in the predictive science category
• Stay abreast of industry advancements in AI and data science to innovate within JP Morgan Chase's trusted banking ecosystem
• Mentor junior data scientists and contribute to the team's knowledge-sharing initiatives
• Ensure data privacy and ethical AI practices in all predictive modeling efforts

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• At least 3 years of professional experience in data science, machine learning, or predictive analytics within the financial services sector
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
• Strong understanding of statistical modeling, machine learning algorithms, and predictive modeling techniques
• Experience with big data technologies and cloud platforms like AWS, Azure, or Google Cloud
• Demonstrated ability to work with large datasets and derive actionable insights in a regulated financial environment
• Excellent communication skills to present complex data findings to non-technical stakeholders

Preferred Qualifications

• Master's or PhD in Data Science, Machine Learning, or a related field
• Prior experience at a major financial institution, particularly in digital banking or fintech
• Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer
• Knowledge of regulatory frameworks like GDPR, Basel III, or FCA guidelines in the UK financial sector
• Experience with natural language processing (NLP) or time-series forecasting in financial applications

Required Skills

• Python programming for data analysis and model development
• Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• SQL and database querying for financial data extraction
• Statistical analysis and hypothesis testing
• Big data tools such as Hadoop, Spark, or Kafka
• Data visualization with Tableau, Power BI, or Matplotlib
• Predictive modeling for risk assessment and customer segmentation
• Cloud computing experience with AWS or Azure
• Problem-solving and analytical thinking
• Collaboration and teamwork in agile environments
• Communication skills for stakeholder presentations
• Attention to detail in regulated financial contexts
• Time management for handling multiple projects
• Ethical data handling and bias mitigation in AI
• Domain knowledge in banking and fintech trends

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities with tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexibility for work-life balance in London
• On-site fitness centers, wellness programs, and subsidized dining options at JP Morgan Chase facilities

JP Morgan Chase is an equal opportunity employer.