Data Scientist Lead

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

As a Data Scientist Lead at JP Morgan Chase in Bengaluru, Karnataka, India, you will play a pivotal role in the Predictive Science team, driving innovative tech solutions across multiple technical domains. In this leadership position, you will spearhead the creation of advanced predictive models that address critical challenges in the financial services industry, such as enhancing fraud detection systems, optimizing credit risk assessments, and personalizing customer experiences. Working within an agile framework, you will collaborate closely with cross-functional teams to translate complex data into actionable strategies that support JP Morgan's global operations and maintain our position as a leader in banking innovation. Your responsibilities will include leading end-to-end data science projects, from data exploration and model development to deployment and monitoring in production environments. You will leverage cutting-edge machine learning techniques and big data technologies to analyze vast financial datasets, ensuring solutions are robust, scalable, and compliant with stringent regulatory standards like those from the RBI and international bodies. As a mentor to junior team members, you will foster a collaborative culture that emphasizes ethical AI practices and continuous learning, contributing to JP Morgan's commitment to responsible innovation in fintech. This role offers the opportunity to impact high-stakes decisions that shape the future of finance, while benefiting from JP Morgan Chase's world-class resources and professional growth opportunities. Join us in Bengaluru to lead transformative projects that not only advance technology but also deliver tangible value to clients and stakeholders worldwide, all while thriving in a dynamic, inclusive environment that values diversity and excellence.

Key Responsibilities

• Lead the development and implementation of advanced predictive models to solve complex business problems in areas like risk assessment, fraud detection, and customer personalization at JP Morgan Chase
• Collaborate with agile teams across technology, product, and business units to deliver scalable tech solutions that enhance financial services operations
• Design and execute data science experiments, including A/B testing and model validation, ensuring alignment with regulatory requirements in the banking sector
• Mentor junior data scientists, fostering a culture of innovation and best practices in machine learning within the Predictive Science team
• Analyze large-scale financial datasets using statistical methods to derive actionable insights for strategic decision-making
• Integrate machine learning models into production environments, optimizing for performance and reliability in high-stakes financial applications
• Stay abreast of emerging trends in AI and data science, applying them to improve JP Morgan's competitive edge in global markets
• Communicate complex technical findings to non-technical stakeholders, including senior executives, to drive adoption of data-driven strategies
• Ensure data models comply with ethical standards and financial regulations, mitigating risks in areas like algorithmic trading and compliance monitoring

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of experience in data science roles, with a focus on predictive modeling and machine learning in financial services
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
• Strong experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Demonstrated ability to lead cross-functional teams in agile environments within large-scale financial institutions
• In-depth knowledge of data privacy regulations such as GDPR and financial compliance standards like SOX
• Proven track record of deploying data-driven solutions that impact business outcomes in risk management or fraud detection

Preferred Qualifications

• PhD in a quantitative discipline with research experience in predictive analytics
• Experience working at a major financial institution like JP Morgan Chase or similar
• Certification in AWS, Azure, or Google Cloud for cloud-based data science deployments
• Background in developing AI models for trading, credit risk, or customer analytics
• Publication record in data science conferences or journals relevant to fintech

Required Skills

• Advanced proficiency in Python and SQL for data processing and analysis
• Expertise in machine learning algorithms, including supervised and unsupervised learning techniques
• Experience with big data tools like Hadoop, Spark, or Kafka for handling financial datasets
• Strong statistical knowledge, including regression analysis, hypothesis testing, and time-series forecasting
• Familiarity with cloud platforms such as AWS or Azure for model deployment in secure financial environments
• Leadership and team management skills in agile methodologies
• Excellent communication skills for presenting insights to diverse audiences
• Problem-solving abilities in high-pressure, deadline-driven projects
• Knowledge of financial domain concepts like credit scoring, market risk, and anti-money laundering
• Proficiency in data visualization tools like Tableau or Power BI
• Understanding of ethical AI practices and bias mitigation in predictive models
• Experience with version control systems like Git for collaborative development
• Analytical mindset for interpreting complex financial data patterns
• Adaptability to evolving technologies in the fintech landscape

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan's global compensation structure
• Comprehensive health, dental, and vision insurance plans with family coverage options
• 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 featuring gym memberships, mental health support, and fitness challenges
• Flexible work arrangements, including hybrid options in Bengaluru and remote work flexibility
• Stock purchase plan allowing employees to invest in JP Morgan Chase shares at discounted rates

JP Morgan Chase is an equal opportunity employer.