Responsibilities:

• Work in a team and collaborate with model developers and validators to design and deliver advanced modeling platforms and automation solutions
• Design and build integrated model development and validation platform, with automated and configurable model testing capability for a wide variety of modeling methodologies
• Design digitized and automated ongoing monitoring workflow, and partner with Tech to build database and dashboard to facilitate streamlined ongoing monitor reviews 
• Establish modern documentation infrastructure for typesetting, inventory and change management
• Construct systematic data flow between multiple tiers and system components
• Explore opportunities to enable risk management innovation with latest technology  

Requirements:

• Education: Degree in a quantitative field such as Computer Science, Engineering, Physics, Mathematics, Operation Research, Quantitative Finance, or Data Science from Top tier – IITs, NITs, Indian Statistical Institutes etc.
• Certifications if any: Technical certifications in Python, SAS, SQL
• Experience Range: 4+ years

Foundational skills:

• Strong business knowledge of Model Risk Management processes and experience in risk analysis and business process re-engineering / continuous improvement
• Proficiency in Python and object-oriented programming, advanced skills to write concise and production-quality code and build modular and well-structured code library
• Proficiency in relational database/SQL experience, as well as strong NoSQL databases experience especially using MongoDB
• Experience building RESTful web APIs using Python frameworks especially FastAPI
• Familiarity with agile software development tools, such as JIRA, Git/Bitbucket, Jenkins
• Self-starter and ability to work a high degree of independence

Desired Skills:

• Experience with Software Development Life Cycle (SDLC) with Continuous Integration (CI) and Continuous Delivery (CD)
• Experience with User Interface development and tools (e.g. Angular)
• Experience building APIS using GraphQL
• Proficient in LaTeX and documentation management
• Creative and analytical thinking skills - with ability to comprehend, document, evaluate and improve complex business processes
• Proven delivery of Operational Excellence and a continuous improvement mindset