Vp Data Analytics - Sales Science Strategy jobs at Jpmorgan in India, Karnataka, Bengaluru

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability

• Extensive experience and expertise in SQL Server development, including proficiency in creating stored procedures, functions, triggers, views, and performance tuning of stored procedures

• Strong knowledge of one or more scripting languages, particularly T-SQL and PowerShell

• Experience in building applications using Python

• Experience with integrated development environments such as IntelliJ and VSCode

• Knowledge and experience with automation and version control tools such as Ansible, Jenkins, SaltStack, Bitbucket, and GitHub

• Strong knowledge of one or more infrastructure disciplines, including hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments.

• Experience with multiple cloud technologies, with the ability to operate in and migrate across public and private clouds.

• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience with JavaScript and JSON and troubleshooting complex database problems
• Exposure to Micro service architecture, REST API design/development
• Exposure on Database High Availability solutions like Log-Shipping, Database Mirroring, Replication, Clustering and AlwaysON
• Exposure to using PerfMon/Profiler, solved low-level SQL Server bottlenecks like Dead Locks/Long running queries

Job Responsibilities

• Own and support marketing analytics for card products to solve business problems and enable growth.
• Evaluate effectiveness of marketing campaigns and perform P&L evaluation.
• Utilize advanced tools like SAS, Python, SQL for data engineering and synthesize large volumes of data into meaningful insights.
• Perform advanced analytics to develop customer segmentation and differentiated offering strategies.
• Interact with business units to devise strategies with customer-focused analysis and performance.
• Support business growth targets by providing concise, insightful, and timely analytics for key trends.

Required Qualifications, Capabilities, and Skills

• BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance).
• Minimum 4 years of experience in SAS/SQL with proficiency in programming languages such as R/Python.
• Proficient in visualization tools like Tableau.
• Working knowledge of advanced statistical concepts and machine learning techniques.
• Experience with manipulating large and complex databases and developing data models.
• Strong oral and written communication skills.
• Understanding of credit card P&L.

As a Quant Analytics Associate Senior within the Business Banking Deposits & Cash Management Team, you will play a crucial role in developing control and exception reports. You will work closely with stakeholders to ensure the product functions as designed, influencing critical initiatives and strategies.

Job Responsibilities:

• Interact with stakeholders to understand business needs and develop efficient solutions.
• Write SQL codes and develop Tableau reports, ensuring end-to-end ownership.
• Enhance ad-hoc reporting capabilities for a broad user community.
• Ensure reporting elements are organized, labeled, and documented.
• Automate reporting elements and maintain documentation in Bitbucket.
• Identify growth areas and communicate recommendations to leadership.
• Collaborate with cross-functional teams to deliver customized analyses and insights.

Required Qualifications, Capabilities, and Skills:

• Bachelor's/Master's in business, finance, economics, engineering, statistics, information systems, or mathematics with 7+ years of experience.
• Hands-on experience with complex SQL code and data analytics tools.
• Ability to manage and deliver in a fast-paced environment.
• Strong understanding of IT processes and databases.
• Leadership skills to analyze problems and communicate effectively with stakeholders.
• Superior judgment to mitigate risk and anticipate trends.

Preferred Qualifications, Capabilities, and Skills:

• Experience with ETL tools like Alteryx and visualization tools like Tableau.
• Previous experience in financial services or consulting firms.
• Strong grasp of big data disciplines, AWS, Agile methodologies.
• Lifelong learner with a growth mindset, eager to share knowledge.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

• Experience in banking or financial domain

As a Analytics Solutions Associate Sr at JP Morgan Chase within the Chase UK team, you will play a pivotal role in our finance data transformation project. You will collaborate with finance stakeholders to develop a finance data platform that supports business-critical control responsibilities and decision-making. Your work will involve using modern data tools to deliver strategic solutions and insights, contributing to our global impact.

Key Responsibilities:

• Partner with data architect and data engineers to ingestand structure Nutmeg's investment data into finance data platform.
• Design, develop, and maintain interactive dashboards and reports using Google Looker and LookML.
• Utilize SQL for data querying and analysis, ensuring accuracy and integrity.
• Collaborate with data engineers and modelers to develop necessary data models.
• Present complex data in visually engaging formats to facilitate communication.
• Work with product managers and end users to ideate and refine solutions.
• Ensure compliance with BI solutions governance processes.

Required Qualifications, Skills, and Experience:

• Minimum of 5 years’ experience with business intelligence platforms.
• Proficiency in Looker and LookML.
• Bachelor’s degree or equivalent in data analytics, computer science, accounting, or finance.
• Experience in large-scale digital transformation projects, preferably in Finance/FinTech.
• Strong knowledge of SQL and data modeling.
• Expertise in data analytics and visualization, with a solid understanding of UX/UI design.
• Excellent written and verbal communication skills.
• Highly self-motivated and proactive.

Preferred Qualifications, Skills, and Experience:

• Commercial understanding of retail banking products such as current accounts, credit cards, insurance, and mortgages.
• Passion for innovation and problem-solving with a focus on user-centric design.
• Ability to work in collaborative, cross-functional agile teams.

As ain our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities

• Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
• Identify key data sources that can make business impacts.
• Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
• Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
• Proficient in Visualization and storytelling which can make an impact to the business .
• Employs scalable automation solutions for faster and robust data preparation
• Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills

• Self-starter, attention to details and results orientated, able to work under minimal guidance.
• Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Having mandatory experience in Statistics along with Exploratory and regression data analysis
• Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics..
• Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models,
• Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning].
• Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
• Bachelor’s Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable.
• Experience Required: 8+ years in Data related projects and 3+ years in Data Science/AI
• Good communication and analytical skills

Preferred qualifications, capabilities and skills

• Exposure for complex ETL development is an added advantage.
• Knowledge on CI/CD pipelines.