VP, Bulks & Metals Trading — Market Maker, Singapore

25 MS Capital Grp Pte Singapore; Singapore; Vor Ort; SGD 250.000 - 450.000; Vollzeit

Benefits dieser Stelle

Employee benefits

Global opportunities

Zusammenfassung

Morgan Stanley in Singapore seeks an Associate/VP for Bulks & Metals Trading within the Fixed Income division. You’ll engage in market-making, price and execute trades, and manage risk across metals products.

The role emphasizes collaboration with Sales and regional teams to craft solutions for clients in a fast-paced environment. The ideal candidate has 5–8 years in metals with derivative exposure, strong quantitative skills, and Python coding experience.

Qualifikationen

• 5 to 8 years of relevant experience across metals products, including bulks and metals.
• Direct front-office trading or risk-management experience.
• Exposure to commodity derivatives (futures, options, swaps, forwards) or a mix of derivatives and physical trading.
• Coding: Python; hands-on experience applying AI tools to trading workflows.

Aufgaben

• Facilitate market-making and client flows in bulks and base metals while managing risk and maximizing profit.
• Price and execute trades across derivative products, taking direct responsibility for risk and position management.
• Read market information, flows and price behavior to analyze situations and form trading views.
• Work with Sales and regional team to formulate trade ideas and deliver solutions to clients.
• Monitor trading desk administration, including trade bookings and amendments.

Kenntnisse

Metals trading

Front-office trading

Derivatives trading

Python scripting

Data analysis

Communication skills

Tools

Python

Jobbeschreibung

Morgan Stanley in Singapore seeks an Associate/VP for Bulks & Metals Trading within the Fixed Income division. You’ll engage in market-making, price and execute trades, and manage risk across metals products.

The role emphasizes collaboration with Sales and regional teams to craft solutions for clients in a fast-paced environment. The ideal candidate has 5–8 years in metals with derivative exposure, strong quantitative skills, and Python coding experience.