Execution Trader

ARAVALI ASSET MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Aravali Asset Management PTE. LTD. is seeking an Execution Trader trainee to join the investment team in Singapore. The role focuses on quantitative research and building trading algorithms across asset classes, with on-the-job training provided.

The candidate should have strong coding skills in C++ and Python, a solid grounding in maths, stats, economics, and finance, and a genuine interest in financial markets. Excellent English communication is essential for collaboration.

Qualifications

• Background in quantitative finance or related field.
• Strong coding skills in C++ and Python.
• Knowledge of macroeconomics and econometrics is beneficial.
• Willingness to learn quickly and work under demanding conditions.
• Excellent communication skills in English.
• Interest in financial markets.

Responsibilities

• Perform quantitative research and help build trading algorithms across asset classes.
• Participate in on-the-job training to grow with the fund.
• Monitor algorithm positions and assess trading performance.
• Contribute to risk management models and performance reporting.

Skills

Maths

Statistics

Physics

Engineering

Computer Science

C++

Python

Macroeconomics

Econometrics

Fast learner

English

Job description

Execution Trader

Aravali Asset Management is an award winning, Singaporebased hedge fund that was established in 2014. We run a market neutralarbitrage strategy which has generated attractive risk adjusted returns overvarious market cycles. We trade globally however our focus is on Asia. We tradeacross all major asset classes; equity, rates, vol, commodities, and FX.

Due to continued growth, we are looking to hire a Junior Trader to work as partof the investment team. This is an exciting opportunity to join the fund asatrainee and grow with the fund as your knowledge and experience grows.

Responsibilities

Responsiblefor quantitative research and help build and monitoring trading algorithmsacross asset classes. We will provide full on-the-job training for thehard-working, energetic person.

Quantitative research involves:

• Applying numerical analyses to draw insights from real-time financial marketdata
• Identifying good quantitative trading strategies
• Researching various risk management models to trading algorithms
• General technical and fundamental capital markets research

Monitoring of the algorithm would involve:

• Observing how the algorithm is taking positions and identifying any irregulartrading behaviors
• Building and monitoring the algorithms’ risk management systems and theirperformance
• Identifying any bugs in the algorithm and providing feedback to the algorithmdevelopers
• Preparing performance data & reports

Skills needed

• Studied either Maths, Statistics, Physics, Engineeringor Computer Science
• Strong ability to code in both C++ and Python.It is not enough to think AI will do it.
• Knowledge of macro-economics and econometricswill be beneficial
• An ability and willingness to learn quickly onthe job and work under demanding conditions
• A genuine interest and passion for financialmarkets
• Prior experience in financial markets is notrequired
• Excellent communication skills in English