Quant Analytics Associate - SQL, Python, Alteryx, Tableau

Location: Mumbai, Maharashtra, India

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a commitment to innovation and client-centric solutions. As a Quant Analytics Associate in our Mumbai office, you will play a pivotal role in designing and delivering impactful analytics solutions that enhance customer experience and drive business performance across our banking and investment divisions. Leveraging tools like SQL, Python, Alteryx, and Tableau, you will analyze vast financial datasets to uncover insights that inform strategic decisions, optimize risk management, and personalize client interactions in a dynamic, regulated environment. Your day-to-day responsibilities will involve collaborating with multidisciplinary teams to translate business challenges into quantifiable analytics projects. You will build sophisticated data pipelines, create intuitive visualizations, and perform advanced statistical analyses to support initiatives in areas such as customer segmentation, fraud detection, and portfolio optimization. At JP Morgan Chase, we value precision and innovation, so you will ensure all work adheres to the highest standards of data governance and compliance, contributing to our reputation as a trusted partner in the financial services industry. This role offers an exciting opportunity to grow within a world-class organization, where your quantitative expertise can make a tangible impact on global markets. Join us in Mumbai to work on cutting-edge projects that blend technology with finance, fostering professional development through mentorship, training, and exposure to international opportunities. If you are passionate about using data to solve real-world problems, JP Morgan Chase provides the platform to advance your career while contributing to our mission of powering the progress of individuals and communities worldwide.

Key Responsibilities

• Develop and implement advanced analytics solutions using SQL, Python, Alteryx, and Tableau to analyze customer data and drive business insights
• Collaborate with cross-functional teams including product managers, risk analysts, and business stakeholders to identify analytics needs and deliver impactful solutions
• Design interactive dashboards and reports in Tableau to visualize key performance metrics, enhancing decision-making for customer experience initiatives
• Automate data processing workflows with Alteryx to improve efficiency and scalability in handling financial datasets
• Perform quantitative analysis on large-scale financial data to support risk assessment, fraud detection, and personalized customer offerings
• Ensure compliance with regulatory standards and data governance policies in all analytics projects
• Conduct A/B testing and statistical modeling to optimize business performance and customer engagement strategies
• Communicate complex analytical findings to non-technical audiences through clear visualizations and presentations
• Stay updated on emerging analytics trends and tools to innovate within JP Morgan Chase's quantitative frameworks
• Contribute to the continuous improvement of analytics infrastructure, mentoring junior associates as needed

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 2-4 years of experience in quantitative analytics, data analysis, or a similar role within the financial services industry
• Proficiency in SQL for querying large datasets and Python for data manipulation and analysis
• Hands-on experience with Alteryx for data blending and workflow automation, and Tableau for visualization and dashboard creation
• Strong understanding of financial data, risk analytics, and customer behavior modeling
• Ability to work with large-scale datasets and ensure data integrity in a regulated environment
• Excellent problem-solving skills and attention to detail

Preferred Qualifications

• Master's degree in a quantitative discipline or MBA with a focus on finance
• Experience in banking or financial services, particularly in customer analytics or risk management at a global firm like JP Morgan Chase
• Familiarity with machine learning libraries in Python (e.g., Pandas, NumPy, Scikit-learn)
• Certification in data analytics tools such as Tableau Desktop Specialist or Alteryx Designer
• Prior exposure to agile methodologies and cross-functional team collaboration in a fast-paced financial setting

Required Skills

• SQL querying and database management
• Python programming for data analysis
• Alteryx for ETL processes and automation
• Tableau for data visualization and storytelling
• Statistical analysis and modeling
• Financial data interpretation
• Problem-solving and critical thinking
• Communication and presentation skills
• Team collaboration and stakeholder management
• Attention to detail and data accuracy
• Agile project management
• Machine learning basics
• Risk analytics in finance
• Regulatory compliance awareness
• Time management in high-pressure environments

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's global compensation structure
• Comprehensive health, dental, and vision insurance coverage for employees and dependents
• Retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick leave, and parental leave policies
• 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 Mumbai
• Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.