Client Data Specialist Iv jobs at Jpmorgan in India, Bengaluru
JPMorgan Transaction Specialist India, Karnataka, Bengaluru
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Job responsibilities
- Process and clear transactions, adhering to established routines and procedures, ensuring accuracy and timeliness.
- Handle customer inquiries and requests related to account balances and transactions, providing a positive customer experience at all touchpoints
- Escalate non-routine issues to senior team members, applying common sense and experience of similar situations to identify potential solutions.
- Contribute to innovation efforts by applying knowledge of artificial intelligence and automation to optimize transaction processes.
- Maintain up-to-date knowledge of market products and industry regulations, using this knowledge to ensure compliance in all transaction activities.
- Baseline knowledge of transaction management processes, including processing, clearing, servicing, researching, and settling transactions.
- Demonstrated ability to handle customer inquiries and requests, with a focus on providing a positive customer experience.
- Experience with escalating non-routine issues, applying common sense and experience of similar situations to identify potential solutions.
- Developing proficiency in artificial intelligence and automation, with experience applying these technologies to optimize transaction processes.
- Familiarity with market products and industry regulations, with the ability to apply this knowledge to ensure compliance in transaction activities.
- High school diploma or GED required.
- Physical requirements: sitting up to 95% of the time, standing up to 10% of the time, lifting up to 5% of the time and up to 50 pounds, walking up to 10% of the time.
- Familiarity or developing knowledge of automation and process optimization tools or technologies.
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JPMorgan Software Engineer III - Oracle HCM Cloud Technical Specialis... India, Karnataka, Bengaluru
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Job responsibilities
- Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.
- Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Preferred qualifications, capabilities, and skills
- Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking, Reinforcement Learning or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
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JPMorgan Metadata Data Quality Analyst India, Karnataka, Bengaluru
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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
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JPMorgan Transaction Specialist India, Karnataka, Bengaluru
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Introductory Market Language
Job Responsibilities
- Ensure sound understanding of the Standard Operating Procedure
- Analyze cases and apply resolutions methods as per SOP guidelines
- Manage case inventory & ageing as per pending guidelines
- Refer and transfer complex issues/inquiries to Subject matter expert & Team Leader
- Enhance customer experience by meeting customer impact accuracy levels and reducing case resolution turnaround time
- Ensure processing discipline by meeting non customer impact accuracy levels and respond to escalations with a sense of urgency
- Take active participation in PMR, Q-board, and team huddle and also identify areas for process improvement
- Complete the assigned trainings in time
Required qualifications, capabilities and skills
Graduate in Commerce or Graduate in any stream with 0+ Years of experience
Basic understanding of Accounting Knowledge
Oral & written communication skills
Adaptability to change
Attention to detail
Ability to work as a team
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JPMorgan Wealth Management Client Operations Lead - Executive Directo... India, Karnataka, Bengaluru
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Job Summary:
As a Client Operations Lead within the Wealth Management Client Operations team, you will partner with global business-facing teams to ensure compliance and meet day-to-day deliverables. You will identify opportunities for automation and service improvement, maximizing productivity and quality. Your leadership will drive team development and enhance client experiences.
Job Responsibilities:
- Partner with Middle and Front office teams for client onboarding.
- Drive results through leadership, communication, and influence.
- Function effectively in a high-volume, deadline-oriented environment.
- Manage KPIs to ensure quality and timeliness.
- Serve as an escalation point for Client Operations issues.
- Promote process improvement and share best practices.
- Support consistent hiring and performance management.
- Manage risk, identify issues, and escalate as needed.
- Assess process and system improvements, providing solutions.
- Create an effective control environment within the team and build partnerships with onshore leads through communication and governance.
Required Qualifications, Capabilities, and Skills
- 12+ years of experience in Financial Services or Operations.
- Proven leadership in strategic change management and process re-engineering.
- Experience managing across multiple locations.
- Strong relationship-building and influencing skills.
- Industry experience with understanding of standards and networking.
- Consultative approach, anticipating business partner needs.
- Critical thinking and proactive best practices.
- Motivated with advanced strategy and problem-solving skills.
- Commercial background with ability to transform operations.
- Knowledge of automation tools and AI/ML understanding.
Preferred Qualifications, Capabilities, and Skills:
- Client Operations experience in Investment Banking or Wealth Management.
- Experience in technology-driven projects.
- Strong industry networking and peer relationships.
- Ability to collaborate with Operations Leaders and key partners.
- Understanding of client needs and impact on relationships.
- Proven ability to transform operations across business areas.
- Advanced interpersonal and communication skills.
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JPMorgan Data Science AI developer – Associate India, Karnataka, Bengaluru
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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.
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JPMorgan Data Scientist Lead India, Karnataka, Bengaluru
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As a senior ML andengineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
Job responsibilities
Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities
Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
Deploy solutions into public cloud infrastructure
Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
MS in Computer Science, Statistics, Mathematics or Machine Learning.
Development experience, along with hands-on Machine Learning Engineering
Proven leadership capacity, including new AI/ML idea generation andGenAI-based solutions
Solid Python programming skills required; with other high-performance language such as Go a big plus
Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus
Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
Expertise in application, data, and infrastructure architecture disciplines
Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
Excellent communication skills and ability to communicate with senior technical and business partners
Preferred qualifications, capabilities, and skills
Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
Knowledge of machine learning frameworks:Pytorch,Keras, MXNet, Scikit-Learn
Understanding of finance or wealth management businesses is an added advantage
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Job responsibilities
- Process and clear transactions, adhering to established routines and procedures, ensuring accuracy and timeliness.
- Handle customer inquiries and requests related to account balances and transactions, providing a positive customer experience at all touchpoints
- Escalate non-routine issues to senior team members, applying common sense and experience of similar situations to identify potential solutions.
- Contribute to innovation efforts by applying knowledge of artificial intelligence and automation to optimize transaction processes.
- Maintain up-to-date knowledge of market products and industry regulations, using this knowledge to ensure compliance in all transaction activities.
- Baseline knowledge of transaction management processes, including processing, clearing, servicing, researching, and settling transactions.
- Demonstrated ability to handle customer inquiries and requests, with a focus on providing a positive customer experience.
- Experience with escalating non-routine issues, applying common sense and experience of similar situations to identify potential solutions.
- Developing proficiency in artificial intelligence and automation, with experience applying these technologies to optimize transaction processes.
- Familiarity with market products and industry regulations, with the ability to apply this knowledge to ensure compliance in transaction activities.
- High school diploma or GED required.
- Physical requirements: sitting up to 95% of the time, standing up to 10% of the time, lifting up to 5% of the time and up to 50 pounds, walking up to 10% of the time.
- Familiarity or developing knowledge of automation and process optimization tools or technologies.
These jobs might be a good fit
