Senior Market Analyst, Equity Trading — Shanghai On-Site

Citi; New York (NY); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Citi in Shanghai is seeking a Markets Analyst – Equity Trading to oversee trading activities, reporting and drive performance improvements through research.

You will aggregate large data sets, develop evaluation methodologies, work with quants and tech, and ensure governance and risk controls are followed.

The role requires 6–10 years experience, strong statistics, programming in Q/KDB, Python or R, and excellent communication.

Qualificações

• 6–10 years of experience in a related role.
• Strong statistics and data analysis background with modelling capabilities.
• Programming experience in Q/KDB, Python or R.
• Excellent written and verbal communication.
• Attention to detail with deadline management.
• Experience with AI tools is a plus.

Responsabilidades

• Aggregate and process large market data for risk decisions and client solutions.
• Perform analyses to evaluate performance, test strategies, and provide feedback.
• Develop performance evaluation methodologies and attribution models.
• Collaborate with quants, technology, compliance to drive product development.
• Define metrics for senior management and governance purposes.
• Adhere to Citi's Code of Conduct and risk controls.

Conhecimentos

6-10 years experience

Statistics/Data analysis

Q/KDB, Python, R

Research & presentation

Written & verbal communication

Attention to detail

AI tools proficiency

Deadline management

Formação académica

Bachelor’s degree or equivalent

Master’s degree preferred

Ferramentas

Q/KDB

Python

R

Descrição da oferta de emprego

Citi in Shanghai is seeking a Markets Analyst – Equity Trading to oversee trading activities, reporting and drive performance improvements through research.

You will aggregate large data sets, develop evaluation methodologies, work with quants and tech, and ensure governance and risk controls are followed.

The role requires 6–10 years experience, strong statistics, programming in Q/KDB, Python or R, and excellent communication.