Risk Analytics – Risk Management – Analyst
| Company | Morgan Stanley |
|---|---|
| Location | New York, NY, USA |
| Salary | $75000 – $95000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Undergraduate/Graduate/Advanced degree in quantitative fields such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics and Engineering.
- Solid understanding of the basics of algorithms, data structures.
- Proven track record of proficiency in at least one programming language (Python, JAVA, C++, C# etc.).
- Strong desire to follow best practices and deliver strategic solutions.
- Willingness to learn new technologies quickly.
- Good problem-solving skills.
- Strong communication skills: ability to present complex and technical issues clearly, both verbally and in writing.
Responsibilities
- Developing cutting-edge Python libraries and APIs for quantitative modelers.
- Gaining exposure to and experience with APIs to Morgan Stanley and external systems and library components written in different programming languages, using varied technologies.
- Participating in high-level design discussions, design reviews and peer reviews.
- Contributing to risk model implementation & optimization.
- Following and enforcing software development best practices such as Trunk-Based Development, Test-Driven Development (TDD), unit and integration testing.
Preferred Qualifications
- 1 year of relevant work experience in a role with a strong software engineering background.
- Some 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 understanding of Test-Driven Development.
- Some exposure to financial concepts is advantageous.