Morgan Stanley Advantage Services Pvt. Ltd. Looking for Director Python Developer/RAPD(Risk Analytics Platform & Delivery) Risk Analytics Division. at Japan Full Time

*The role will reside within Firm Risk Management’s Risk Analytics function, specifically within the Risk Analytics Platform and Delivery (RAPD) Group. The RAPD Group works collaboratively with global stakeholders (quantitative analysts, end-users, business analysts and product owners) across the Firm to build, support and utilize a newly-developed platform for risk model development. The platform supports new risk model development as well as functional enhancements to existing risk models.
Your job will be a mixture of:
> Designing the architecture and implementing software components of a new Model Development Platform
> Developing cutting-edge software libraries and APIs for quantitative modelers,
> Contributing to model implementation & code optimization
> Gaining exposure to and experience with APIs into Front Office and library components written in different languages and using different technologies
> Participating in high-level design discussions, design reviews and peer reviews
> Owning or contributing to tools development
> Defining and setting up the relevant software development process and its tooling
> Collaborating with Risk Technology teams to specify and implement APIs for Risk Applications implemented in Java
> Defining test cases and implementing unit and/or integration tests
> Working with production support teams and users to resolve escalated cases, *

We need you to have:
> 3+ years of work experience as a programmer in any of the following Python, C++, Java, C#.
> Graduate/Under-graduate/Advance degrees in computer science, mathematics, physics, engineering or other quantitative subjects.
> Experience working as a part of a team; familiarity with collaboration tools such as: code versioning (e.g. git/svn/cvs), task tracking (e.g. Jira).
> Solid development experience with Python and familiarity with at least one additional general-purpose programming language (e.g. C++, Java, C#).
> Solid understanding of algorithms and data structures, and of computational complexity.
> Willingness to learn new technologies quickly.
> Experience with the design and implementation of complex technology stacks.
> Willingness and skills to solve problems through applying various technologies.
> Solid understanding of Test Driven Development (TDD).
> Excellent problem solving skills.
> Confident command of English.
> Very good communication skills and interpersonal skills.
You will have a chance to:
> Work as part of an international team.
> Contribute to a large impact project.
> Have a big influence on how the global risk analytics team leverages technology.
> Be exposed to Quantitative Risk Models and their overarching impact and role in the Firm.
> Work with high-performing technology teams in Risk and Front Office and Quant-developer teams in Front Office Strats.
> Learn about finance and risk management as well as about how a global investment bank works.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.