MIO is seeking a Quantitative Risk Analyst with distinctive conceptual problem-solving skills, as well as strong quantitative and computational skills. The successful candidate can think about risk in a structured, logical, and qualitative way as the foundation for any quantitative analysis and can effectively communicate their point of view. The role involves both ownership of routine processes and data manipulation and project-based work. MIO has transitioned to a hybrid working arrangement. The new hire will be expected to report to our Midtown, New York offices three days/week. COVID-19 vaccination is mandatory for this position (subject to accommodation for health and religious reasons).

• Take ownership of and enhance existing risk analyses, reporting processes, and systems/applications
• Make risk data available in various formats for end-users (e.g., Tableau reports, database tables, proprietary Excel Add-in); respond to follow-up inquiries made by end-users
• Ensure consistency and accuracy of risk and performance data published by the Risk Team
• Contribute to the refinement of risk management frameworks
• Implement enhancements in our systems and reporting infrastructure to reflect framework refinements, portfolio changes, or additional reporting requirements
• Expect to work on multiple projects simultaneously; these projects may include ad-hoc analyses, data visualization, and calculating risk metrics concerning current risk issues
• Create documentation of risk frameworks, systems, data, and report generation
• Provide recommendations to team to improve calculations, methodologies, systems, and automate processes

Business Experience

• The ideal candidate has 2-4 years of relevant experience, or a graduate degree in Financial Engineering, Computational Finance, Economics, Statistics, Computer Science, Finance, Math, or related quantitative field and 0-2 years of experience
• Risk management experience is desirable

Technical Skills 

• Solid econometrics and basic risk math skills (VaR models, factor models, linear algebra, etc.
• Solid Python programmer with knowledge of Pandas and NumPy libraries
• Knowledge of Excel/VBA; Tableau is a plus
• Participation in FRM program is a plus

Personality

• High motivation & drive: goal-oriented with an ownership mindset
• Detail orientation: naturally curious, strives to deeply understand context and rationale underlying calculations and able to dig into details and achieve number accuracy
• Problem solving: sharp analytical thinking, both conceptual and numerical; good at issue identification and structuring
• Communication skills: Clear oral and written communication; can distill and communicate the “so what”; able to communicate directly with a senior audience
• Collaborative style: good listener, puts the team first