Hybrid Emerging Country Debt Analyst

at GMO

• Job title: Emerging Country Debt Analyst
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $175,000 - $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Boston, United States

About the role

• Emerging Debt Analyst working within GMO's investment performance team to manage sovereign credit analysis. Focusing on emerging markets and developing economies with a strong research background.

Responsibilities

• Working with the sovereign team to price relative country risk across the investment universe, using the team’s models and processes.
• Providing input into improvements and enhancements to the sovereign credit models.
• Contributing to default recovery analysis for countries in distress.
• Sourcing and maintaining data necessary for the above.
• Meeting with policymakers of countries in the investment universe, both virtually and in-person.
• Working with corporate/quasi-sovereign analysts when necessary to provide a joint assessment of the likelihood of support.
• Assisting in analysis of emerging market currencies and local interest rate markets.
• Responding to client requests for information and analysis on economic and financial developments.

Requirements

• Education: Undergraduate degree holders with a strong academic background will be considered. An advanced degree in economics, quantitative methods, or a related field would be preferable.
• Experience: A minimum of ten years of relevant economic research focused on emerging and developing economies is required. Work in the specific area of sovereign credit analysis would be desirable, as would knowledge of exchange rate and local interest rate modeling in emerging markets.
• Communication Skills: Ability to understand and work with a culturally diverse population of issuers is critical. The ability to communicate concisely in writing is critical.
• Professional Skills: Ability to take initiative and successfully follow through on tasks; accept compromise and deliver results to meet deadlines; manage multiple projects and set priorities. The ideal candidate will also show a desire for achievement and commitment to the investment process and to growing their expertise in the field.
• Data Analysis: Advanced capability in MS Excel required. Python would be an added plus, as would relevant work with statistical packages such as Stata.
• Language Skills: Proficiency in a foreign language is desirable but not required.

Benefits

• medical insurance
• dental insurance
• life insurance
• long-term disability coverage
• 401(k)/profit-sharing retirement plan
• open paid time off
• leaves of absences
• dependent care resources
• tuition reimbursement
• charitable gifts matching
• flexible spending accounts
• commuter benefits