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Incoming MAA - Quantitative Researcher - Asia

Balyasny Asset Management LP Tokyo, Japan
Posted 1 day ago Permanent Competitive

Incoming MAA - Quantitative Researcher - Asia

Balyasny Asset Management LP Tokyo, Japan
Incoming MAA - Quantitative Researcher - Asia
Job Description

We are seeking an Index Analyst to join our Index Rebalancing Team . This role is ideal for a technically strong candidate who has deep experience in Corporate Events with a broad range of esoteric predictions across the global and APAC markets. Ability to break down their ideas into different methodologies and translating them into code is a plus.

Responsibilities include, but are not limited to:

- Building and maintaining prediction model infrastructure in Python/Excel for Indices

- Recommend and update changes in methodology and classification for Index Providers (Country / Sector Reclassification)

- Provide investment views based on Corporate Actions (Mergers / IPOs / Dual Listing etc)

- Maintain and manage upcoming trends in Index Tracking (i.e. New passive money trends)

- Investing and trading in global index rebalance strategies

- Communicating with industry and sell-side contacts

QUALIFICATIONS & REQUIREMENTS:
  • Minimum 3yrs experience in Index Research specifically Index Rebalance and Arbitrage strategies
  • Bachelor's degree in Finance, Economics, or similar
  • MS or MBA in Finance, Financial Engineering, Economics, Statistics, or other quantitative fields a plus
  • Strong quantitative training and modelling skills, demonstrated proficiency with Excel as well as a structured programming language such as VBA, SQL, Python
  • Ability to perform data analysis with experience coding in Python preferred
  • Demonstrated track record of ownership, leadership, high achievement and raising the standard of those around you
  • Excellent organisational skills and attention to detail with the ability to prioritize effectively, handle multiple projects under tight deadlines, identify/ flag/resolve potential issues early on
Job ID  REQ8031
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