דרושים Senior Technical Product Associate- Digital Channels ב-גיי פי מורגן ב-India, Karnataka, Bengaluru

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

Job responsibilities

• Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio
• Creates novel code solutions and drives the development of new production code capabilities across teams and functions
• Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements
• Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences across business, product, and technology teams and successfully manages senior stakeholder relationships
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect

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.

• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

• Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
• Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
• Advanced python programming skills with experience writing production quality code
• Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.
• Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
• Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
• Familiarity with latest development in deep learning frameworks.
• Ability to communicate complex concepts and results to both technical and business audiences.

• Prior experience of developing solutions for Financial domain
• Exposure to distributed model training, and deployment
• Familiarity with techniques for model explainability and self validation