Performance Analytics jobs at Jpmorgan in India, Mumbai

Wholesale Credit Portfolio Analytics Analyst inWholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders.

Job Responsibilities

• Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals.
• Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant.
• Use data science techniques to derive insights and communicate findings.
• Contribute to generating new ideas to address both ad hoc and strategic projects.
• Present findings and recommendations to senior management through presentations

Required Qualifications, Skills and Capabilities

• Relevant analytics, model/methodology development or credit risk experience
• Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data.
• Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics)
• Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL.
• Excellent problem solving, communications, and teamwork skills.
• Financial service background preferred, but not required.
• Desire to use modern technologies as a disruptive influence within Banking

Job Summary

As an Events Management Associate within the Events Team, you will play a pivotal role in planning, coordinating, and executing a variety of corporate events across India. You will ensure every event reflects our brand values, supports business objectives, and delivers a superior experience for clients, partners, and employees. Your strategic oversight and hands-on support will enhance team productivity and event success.

Job Responsibilities

• Lead end-to-end management of office-based events, including conferences, workshops, town halls, and VIP visits.
• Oversee event setup, logistics, vendor coordination, and technical requirements.
• Ensure brand consistency across all event materials, signage, and guest experiences.
• Collaborate with vendors and internal stakeholders for seamless event execution.
• Manage contracts, negotiations, and relationships with vendors and suppliers.
• Implement feedback mechanisms to continuously improve event quality and attendee experience.
• Foster a collaborative, high-performance, and innovative approach within the events team.

Required Qualifications, Capabilities, and Skills

• Degree or equivalent qualification in Event/Hotel Management.
• Graduation or post-graduation from a reputable management college.
• Proven experience organizing and managing high-profile executive or corporate events.
• Strong organizational, multitasking, and negotiation skills.
• Ability and willingness to travel for event coordination.
• Demonstrated ability to manage budgets and adhere to strict budget parameters.
• Flexibility to work after-hours and weekends as required by event schedules.

Preferred Qualifications, Capabilities, and Skills

• Experience with digital engagement and innovative event formats.
• Knowledge of sustainability practices in event management.
• Strong leadership and team development skills.
• Excellent communication and stakeholder management abilities.

As an Experience Design Vice President in our Card portfolio focused on end-to-end customer experiences, you will play a pivotal role in shaping the user experience across our products and services. Leveraging your deep knowledge of design and research practices to lead strategically important initiatives and develop innovative solutions that align with business requirements and user needs. As a subject matter expert, collaborate with cross-functional teams guiding and partnering with design, content, and research peers and associates. Your expertise in experience strategy and service design will ensure that our offerings are not only visually appealing but also connected and cohesive journeys, enhancing the end-to-end customer experience (CX).

You will be at the forefront on forging transformative partnerships with top-tier global brands, creating innovative co-brand card solutions that drive commerce and deliver unparalleled rewards. In addition, you will be responsible for helping to set a vision and develop Card services that boost our efficiency and effectiveness with our global brand partners.

Job responsibilities

• Develop and execute design/research strategies for complex projects and ensure alignment with business objectives and user needs across multiple product areas
• Diagram service flows and product features, design wireframes, and prototype interactions for key touchpoints as you lead end-to-end design initiatives within a specific domain.
• Role-model the adoption of inclusive design practices and accessibility guidelines, mentor junior designers and foster a culture of diversity and inclusion
• Collaborate with cross-functional teams to integrate user experience design into the product development processes and ensure seamless and customer-centric solutions
• Analyze market trends, gather feedback from user research, and learn from data insights to inform design decisions and optimize user experiences across various platforms and channels

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in user experience design or similar roles
• Demonstrated ability to create visual representations of user journeys, such as storyboarding, wireframes, and prototypes
• Demonstrated experience in inclusive design and accessibility guidelines, with the ability to incorporate diverse perspectives and abilities into design solutions
• Proven ability to develop experiences that meet or exceed the initial proposal of a product or experience, including the development of transformational innovation strategies and the creation of 'north star' representations to drive customer-centric decision-making
• Advanced technical literacy, including an advanced understanding of client-side technologies, APIs, microservices, and the components of the technology stack, as well as their impact on user experience
• Prior experience doing service design for large scale products and services.
• Proven experience orchestrating and delivering end-to-end seamless customer experiences

Preferred qualifications, capabilities, and skills

• Design leadership or managerial experience
• Navigate complex organizational dynamics
• Great stakeholder management
• Drive and lead workshops with business partners and cross functional teams.

As a Data Analyst within the Strategy, Innovation & Governance Data team in the Payments Operations organization, you will work to provide data insights, visualizations, and metrics dashboards. You will analyze business requirements, design, build, test, and produce data insights and operational reporting to support management decisions. You will collaborate closely with Product Owners and Operations to develop requirements and implement new capabilities, ensuring team standards are adhered to while proactively engaging in continuous process improvement.

Job responsibilities

• Perform data mining, analytics, and problem solving
• Analyzing business requirements, designing, building and testing to ensure the delivery of high-quality data insights and visualizations.
• Work closely with Product Owners and Operations to develop requirements and implement new capabilities
  - Work as part of an agile team
  

Required qualifications, capabilities and skills

• Bachelor's or Master’s degree in a quantitative field or an equivalent combination of education and/or business experience.
• 7+ Years of experience in business system analysis or business application design and development role
• 5+ Years of experience with SQL, Python, Alteryx or another programming language in a work-related capacity is required
• Advance knowledge of Microsoft Office products
• Extensive knowledge of database design and relational database principles, prior experience with large scale data warehouse.
• Working knowledge with Business Intelligence tools (Tableau, Business Objects). Agile experience or experience of Software Development Life Cycle (SDLC)
• Polished written and verbal communication skills; confidence in communicating internally at all levels; demonstrated ability to clearly define and articulate business requirements, and to bridge the gap between business and technology, ability to summarize findings into concise high-level points geared towards the audience and visually depict key data and findings
• Proactive, self-motivated and flexible with a positive attitude; efficient at multi-tasking and able to work independently under pressure to deliver business demands on-time, to a high-level standard
• Excellent analytical/problem-solving skills with the ability to provide sound recommendations to management

Preferred qualifications, capabilities and skills

• Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis
• Experience with writing code using Excel/Alteryx and SQL and perform statistical description
• Experience with Tableau
• Proven strong analytical and communication skills
• Aptitude and curiosity for developing automated solutions to solve business problems
• Good understanding of operations within banking industry; preferably with knowledge of payment processing.

Job responsibilities:

• Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units.
• Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives – from problem scoping, data engineering, model development, validation, deployment, to monitoring.
• Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection.
• Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals.
• Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value.
• Utilize advanced statistics, econometrics and mathematical skills including graph theory applications, probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis.
• Collaborate with Technology on model testing, implementation, and production.
• Provide mentorship and oversight for junior data scientists to build a collaborative working culture.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization.
• Contribute to continuous innovation and improvement in the efficiency and effectiveness of processes within the asset-class group, including discussions on overall team strategy.
• Represent risk analytics in governance forums, risk committees, and audit discussions.
• Work with risk managers and other stakeholders to address requests for additional analysis based on specific needs.
• Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators.
• Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments.

Required qualifications, capabilities, and skills:

• 5+ years of hands-on experience in data science, machine learning, or AI.
• Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred.
• Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models.
• Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra.
• Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
• Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression.
• Have experience with investment products including fixed income, equity, and mutual funds.
• Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Logical thought process, ability to scope out an open-ended problem into data driven solution.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.

As a Portfolio & Performance Analyst within the Portfolio Analysis Group, you will play a crucial role in providing performance measurement and attribution analysis for our clients. You will collaborate with Client Advisors, Portfolio Managers, and other teams to deliver accurate and timely performance reports. Your work will involve improving systems and technology, ensuring data quality, and communicating insights to senior management. This position offers the opportunity to contribute to the development of industry-leading performance and attribution systems while working in a dynamic and supportive team environment.

Job responsibilities:

• Provide the best client service experience by understanding our client’s needs and developing relationships across the organization, specifically with Client Advisors, Portfolio Managers, Middle Office, Client Reporting, RFP teams and others
• Become a key contributor to the department’s efforts of improving systems and technology, by actively participating in projects, requirement gathering and testing of software and system tools
• Maintain high standards of quality control checks and procedures; participate, develop and Preview controls for key business projects and business changes; be a driver of improvements
• Calculate performance returns and performance attribution across product range, ensuring accuracy and timely delivery
• Overseeing a broad spectrum of performance measurement & attribution calculations and creating reporting across several regional offices
• Analyze performance and attribution reports, and effectively communicate results to senior management, client portfolio managers and portfolio managers
• Be a driver of the development and implementation of the performance and attribution systems with best industry practices
• Monitoring data quality and performing compares between computations from different sources (e.g. internal vs external)
• Interpreting results and producing attribution commentary for a range of portfolio strategies/mandates (long and short duration, emerging markets, high yield, etc.) including determining sources of alpha and identifying the factors responsible for these results
• Providing regular and bespoke risk and return analysis to portfolio managers and investment specialists

Required qualifications, capabilities and skills

• Experienced performance measurement professional with 5+ years of relevant experience including project experience and knowledge of GIPS
• Knowledge of portfolio accounting principles, and performance and attribution methodologies
• Solid analytical ability to research and analyze complex data sets
• Interact and communicate effectively – written and verbal – throughout all organizational levels and roles including a strong client service mentality
• Ability to communicate effectively with internal clients, third party consultants, auditors, custodians and across all employee experience levels throughout the greater organization
• Passion for the investments business and financial markets
• Strong quantitative skills, comfortable with formulas, performance measurement methodology and risk measures
• Understanding of the various businesses/products within the Asset management & Wealth management space

Preferred qualifications, capabilities and skills

• Bachelor’s degree in Finance, Economics, Mathematics or Computer Science (or similar discipline) from an accredited, high quality institution preferred
• CIPM/CFA or progress toward designation a plus
• Some working knowledge of securities operations, trade processing, mainframe accounting systems and performance system architecture a plus
• Thorough understanding of ex-post risk concepts and methodologies

Job responsibilities:

• Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units.
• Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives – from problem scoping, data engineering, model development, validation, deployment, to monitoring.
• Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection.
• Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals.
• Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value.
• Collaborate with Technology on model testing, implementation, and production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization.
• Represent risk analytics in governance forums, risk committees, and audit discussions.
• Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators.
• Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments.

Required qualifications, capabilities, and skills

• 3+ years of hands-on experience in data science, machine learning, or AI.
• Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred.
• Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models.
• Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra.
• Have experience with investment products including fixed income, equity, and mutual funds.
• Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Logical thought process, ability to scope out an open-ended problem into data driven solution.
• Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.