Senior Lead Software Engineer - Apac Regulatory Reporting jobs at Jpmorgan in India, Bengaluru

Job Responsibilities:

• Use domain modeling techniques to build best-in-class business products.
• Structure software for ease of understanding, testing, and evolution.
• Build scalable solutions that avoid single points of failure.
• Develop secure code to protect customers and the company from malicious actors.
• Investigate and resolve issues promptly, ensuring they do not resurface.
• Ensure zero downtime for end-users during releases.
• Optimize data writing and reading for our needs.
• Monitor performance and identify solutions to problems.
• Ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns to keep us current.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Experience with JVM-based languages (Java/Kotlin) and cloud-native solutions.
• Familiarity with open-source technologies and multi-cloud solutions.
• Ability to independently assess problems and select appropriate technologies.
• Willingness to explore new solutions while focusing on long-lasting, real-world problem-solving.
• Desire to teach and share knowledge, valuing team collaboration over individual heroics.
• Ability to adjust quickly to changing priorities and conditions.
• Long-term vision, choosing technologies and approaches based on end goals.
• High standards for personal and team performance.

Preferred Qualifications, Capabilities, and Skills:

• Initiative to shape your own path with a pragmatic and iterative approach.
• Ethical integrity, earning and maintaining trust.

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 10+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Familiar with Tririga Development, Space Management,
• Exposure to Tririga UX Development
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Exposure to IBM Tririga Application Version Upgrade / Platform Upgrade is a plus
• Understanding of architecture and design across all systems
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Use of APM tools, profiling tools and performance tuning process management, scalability

Preferred qualifications, capabilities, and skills

• Familiarity with Agile methodologies such as Scrum, Kanban, SAFe
• Ability to work as a lead and independently and be self-motivated
• Fast learner and ability to solve complex problems

Job responsibilities

• Design and develop elegant solutions to specific interaction problems and ensure consistency across multiple products and platforms while adhering to industry best practices
• Apply advanced knowledge of information architecture and storyboarding to create user-centric designs that enhance navigation, findability, and overall user satisfaction
• Conduct data-driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision-making
• Collaborate with cross-functional teams to incorporate inclusive design principles and accessibility guidelines to ensure our products and services cater to a diverse range of users
• Operate with an iterative design mindset and incorporate user feedback and insights to continuously improve the overall user experience of our offerings
• Assist in the analysis of market trends, user research studies, and user behavior analyses to inform design decisions and contribute to the team's strategic thinking

Required qualifications, capabilities, and skills

• 3+ years in a user experience design or equivalent role dedicated to improving experiences with digital products and services
• Proven ability to create visually appealing and functional designs using industry-standard tools (e.g., Figma, Sketch, or Adobe Creative Suite)
• Demonstrated experience in designing and optimizing user experiences across multiple platforms, including web, mobile, and other digital channels
• Previous experience interpreting complex data and transforming it into actionable insights for informed decision-making
• Proficient understanding of inclusive design principles, accessibility guidelines, and assistive technologies, with a history of creating accessible and inclusive digital experiences
• Examples of recent work/portfolio required

As a Technology Support III team member in Commercial & Investment Bank - Payments Technology team, you will ensure the operational stability, availability, and performance of our production application flows. Encourage a culture of continuous improvement as you troubleshoot, maintain, identify, escalate, and resolve production service interruptions for all internally and externally developed systems, leading to a seamless user experience.

Job responsibilities

• Provides end-to-end application or infrastructure service delivery to enable successful business operations of the firm
• Supports the day-to-day maintenance of the firm’s systems to ensure operational stability and availability
• Assist in the monitoring of production environments for anomalies and address issues utilizing standard observability tools
• Identify issues for escalation and communication, and provide solutions to the business and technology stakeholders
• Analyze complex situations and trends to anticipate and solve incident, problem, and change management in support of full stack technology systems, applications, or infrastructure

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
• Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
• Experience in observability and monitoring tools and techniques
• Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework
• Knowledge of one or more infrastructure components such as networking, cloud services, orchestration tools, containerization, compute and storage systems
• Experience in service-level changes to a system and troubleshooting components
• Experience in a production support environment
• Experience with creating Alerts, Dashboard monitoring with Splunk, Dynatrace, Datadog and Grafana monitoring tools.
• Working knowledge of the Unix/Linux environment
• Solid working background in AWS

Preferred qualifications, capabilities, and skills

• Experience with one or more general purpose programming languages and/or automation scripting
• Working understanding of public cloud

Join the team that is delivering strategic data and process transformation in Corporate Finance & Operations, using first class methodologies in program governance and project delivery. This role will be responsible for the delivery of various projects across the Environment, Social, Governance (ESG) program book of work, managed through an agile framework which allows for a prioritized backlog and interactions with a diverse set of stakeholders across different geographies.

As an Finance Data Manager Associate within Firmwide Finance Business Architecture (FFBA) team, you will form part of a high performing team of project and data management professionals focused on delivering strategic automation to the ESG Finance Controller Reporting space. This is to support JPMorgan Chase’s requirement to track Environmental, Social and Governance (ESG) obligations in response to regulatory reporting requirements (EU Taxonomy & Net Zero Emissions) and internal firmwide initiatives.

Job responsibilities

• Drive end-to-end requirement discussions and develop and deliver plans for successful delivery of change events
• Execute data quality testing to validate data requirements from upstream sources have been met, in addition to providing data quality support through monitoring of data quality issues and performing root-cause analysis to aid resolution efforts
• Owns the creation and ongoing maintenance of the Data Requirements Documents and Model Documentation which will contribute towards the goal of ensuring data is fit for consumption
• Schedule and coordinate the implementation of new data models in strategic cloud architecture,
• Influence and communicate with stakeholder (business, operations, technology) relationships
• Liaise with various project stakeholders to collect data inputs and maintain robust communication on evolving data requirements.

Required qualifications, capabilities, and skills

• 3+ years of product ownership or project delivery experience, with particular focus in a Finance/Banking and/or Data space
• Strong analytical and problem solving skills, with desire to submerge into the detail of a topic, issue or deliverable to understand the underlying concept
• Self-starter; proven ability to work independently to meet deadlines
• Ability to quickly learn and assimilate business and technical knowledge
• Strong organizational skills and ability to manage multiple streams of work concurrently
• High proficiency in key MS Office applications (Word, Excel, Power Point and Visio), JIRA and Confluence
• Strong written and verbal communication skills, with ability to tailor messaging to various audiences
• Attention to detail, ability to juggle multiple priorities and thrive in a varied, fast-paced environment

Preferred qualifications, capabilities, and skills

• Solid understanding of Financial and/or Regulatory reporting processes; understanding of ESG related data is a plus
• Knowledge and experience of traditional credit (Loans, Deposits, Cash)
• Previous experience in Finance, Risk or Operations functions
• SQL, Cloud and Tableau knowledge
• Proficiency in project management tools, such as JIRA, Confluence and SharePoint

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