Citi Group Lead Data Scientist – C13 - VP Pune 

India, Maharashtra, Pune 

809984655

Responsibilities:

• 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
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, 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.

Qualifications:

• 8-16 years of relevant experience in Apps Development or systems analysis role
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

The role of a VP Java Full Stack Engineer with Data Science expertise is multifaceted and dynamic. This VP will be responsible for overseeing the entire spectrum of full stack development projects, with a particular focus on Java technologies. Integrating data science into full stack development is a key aspect of this role, ensuring that analytical insights drive development processes and enhance overall functionality.

Data science plays a crucial role in transforming vast amounts of data into actionable insights, thereby informing and optimizing development practices. The VP must ensure that all projects adhere to the stringent compliance frameworks mandated by Consent Orders and Article V, which often involve legal and regulatory guidelines that govern organizational operations.

Key Responsibilities

The primary responsibilities of the VP Java Full Stack Engineer with Data Science expertise include leading comprehensive development projects and ensuring seamless data science integration. This entails:

-Leading Development Projects: Overseeing full stack development initiatives, with a strong emphasis on Java, and ensuring successful project delivery.

-Data Science Integration: Guiding data science efforts, ensuring they align with and support overall software development processes.

-Compliance Adherence: Guaranteeing that all projects comply with the requirements of Consent Orders and Article V, which involves meticulous attention to legal and regulatory standards.

-: Leading the charge on adopting new technologies and staying updated with industry best practices and trends.

Required Skills and Qualifications

-Proficiency in Java Development: Extensive experience with Java and full stack development technologies.

-Data Science Expertise: Strong analytical skills and significant experience in data science, including data management, analytics, and machine learning.

-: Familiarity with regulatory requirements related to Consent Orders and Article V, ensuring that development practices meet these standards.

Experience and Education

-Extensive Industry Experience: At least 10+ years of experience in software engineering and data science, with a strong track record of leading and delivering complex projects.

-: An advanced degree in Computer Science, Data Science, or a related field is highly desirable, reflecting a deep understanding of both technical and analytical domains.

Time Type: