Quantitative Analyst at IHS Towers

Reports To: Senior Manager - Business Planning & Intelligence

Summary

• This position is responsible for developing statistical and optimization models and tools to assist the Business Planning & Intelligence team within Finance to extract value from the asset portfolio pool.

Responsibilities

• Monitor ongoing business processes and operations and assist in implementing risk mitigation processes.
• Produce reports on a timely basis to be used by management in assessing various business risk and return characteristic
• Monitor asset and liability holdings and maintain spreadsheets necessary to analyze portfolios.
• Analyze and monitor new developments in portfolio analytics and risk management space and proactively create tools and measures to enable the Financial Planning & Analysis team to leverage such expertise.
• Work with software and system engineers to implement and support ongoing and rapid development and testing of research ideas and models as well as their deployment to end-users and stakeholders.
• Implement methods of monitoring model risk.
• Continuously monitor model performance and quality, and perform stress testing on various KPIs.
• Implement models in a large framework of existing models and processes, develop methods for testing models, and document model changes and processes.
• Build, refine and manage statistical and optimization models for macroeconomic, business, FX, and interest rate risks, and recommend mitigation options.

Functional Competencies:

• Must be detail-oriented, well-organized, independent, entrepreneurial, and self-motivated.
• Possess excellent interpersonal skills.
• Able to prioritize in fast-paced work environment
• Strong quantitative and programming skills
• Demonstrable proficiency in logic and programming via functional programming platforms, e.g. MatLab, Python, R, etc.
• Strong knowledge and expertise in portfolio optimization, mathematics, and business risk measurement and management techniques.
• Excellent understanding of model testing, validation, and development.
• Proficiency in use of Microsoft Office (with an emphasis on Excel and Access) as well as other financial and statistical software packages.

Education & Experience

• A Bachelor's or advanced degree in quantitative disciplines (Economics, Econometrics, Statistics, Mathematics, Engineering or other relevant fields)
• 3-5 years working experience; must have experience in working with large data sets.
• Extensive familiarity with analytics and risk management as they relate to the telecommunications sector, including trends, issues, and developments.