• Architect, Design, and implement robust Python-based solution
• Lead global Technology Teams across different time zones, enabling a hybrid work model
• Drive Object-Oriented Programming (OOPS) principle-based development and mentor team members to leverage advanced python coding techniques and features
• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Experience in using writing and using shell script and other Linux features
• Implement Unit Testing and TDD to ensure software quality and maintainability
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Proactive.

• PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
• 5+ years of industry experience as a data scientist, specializing in Machine learning Modeling, Ranking, Recommendations, or Personalization systems.
• 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
• Strong background of DL/LLM algorithms, model architectures, and training techniques.
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
• Proficiency with tools and LLMs.
• Ability to work independently and collaboratively within a team.

• Experience in GenAI/LLMs projects.
• Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
• Background in financial business-like banking, risk management.
• Should be familiar with capital markets and financial instruments and modeling

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.