Trade Analyst

Agrocorp International; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Direct exposure to live strategies

Mentorship from experienced traders

Hands-on lifecycle experience

Contribution to trading infrastructure

Performance-based progression

Job summary

Agrocorp International in Singapore is seeking a proactive Trading Analyst to support the development, testing and day-to-day operation of systematic and algorithmic trading strategies. You will collaborate with experienced traders to backtest ideas, monitor live systems and help build a scalable algorithmic trading process.

This hands-on role provides exposure to financial markets, quantitative analysis and the practical challenges of managing live trading systems, making it ideal for fresh

Qualifications

• Bachelor’s degree in a quantitative field.
• Fresh graduates and candidates with up to 2 years of relevant experience are welcome.
• Proficiency in Excel and comfort with large datasets.
• Knowledge of Python and SQL or other programming languages is advantageous.
• Understanding of statistics, probability and financial markets is beneficial.

Responsibilities

• Research, develop and backtest systematic trading strategies across futures and other markets.
• Analyse historical data to identify patterns and signals; evaluate strategy performance with key metrics.
• Monitor execution, signals, positions and performance; investigate discrepancies and issues.
• Develop a structured framework for research, backtesting, validation, deployment and monitoring.

Skills

Analytical thinking

Numerical ability

Problem solving

Detail oriented

Independent working

Collaborative

Education

Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics

Tools

Python

SQL

Excel

Job description

Location: Singapore
Level: Graduate / Entry Level

Role Overview

We are looking for an analytical and motivated Trading Analyst to support the development, testing and day-to-day operation of our systematic and algorithmic trading strategies.

The role involves working closely with experienced traders to back test trading ideas, analyse strategy performance, monitor existing automated trading systems and help develop a structured and scalable algorithmic trading process.

This is a hands-on role offering exposure to real trading strategies, financial markets, quantitative analysis and the practical challenges of managing live trading systems.

Key Responsibilities

1. Strategy Research &Backtesting

• Assist in researching, developing and backtesting systematic trading strategies across futures and other financial markets.
• Analyse historical market data to identify trading patterns, opportunities and potential trading signals.
• Evaluate strategy performance using metrics such as returns, drawdowns, Sharpe ratio, win rates and risk-adjusted returns.
• Conduct robustness testing, including parameter sensitivity, out-of-sample testing and performance across different market environments.
• Work with traders to refine existing strategies and evaluate new trading ideas.

2. Trading System Operations& Monitoring

• Support the daily operation and monitoring of existing algorithmic trading systems.
• Monitor strategy execution, trading signals, positions and performance.
• Identify and investigate execution discrepancies, system issues and unexpected trading behaviour.
• Assist in maintaining trading platforms, market data and strategy configurations.
• Ensure that trading strategies operate within established risk parameters and operational controls.

3. Process Development &Automation

• Help develop a structured framework covering strategy research, backtesting, validation, approval, deployment and ongoing monitoring.
• Build tools and reports to automate strategy performance analysis, trade reconciliation and monitoring.
• Maintain documentation of trading strategies, parameters, testing results and changes.
• Support the development of a centralised repository for trading strategies, research and performance data.
• Identify opportunities to improve the efficiency, reliability and scalability of the firm’s systematic trading activities.

4. Trading Performance &Risk Analysis

• Analyse live and historical trading performance to identify areas for improvement.
• Monitor drawdowns, position exposures, strategy correlations and other key risk metrics.
• Conduct post-trade analysis to understand the drivers of trading performance.
• Assess the impact of transaction costs, slippage and market liquidity on strategy profitability.
• Prepare regular trading performance and risk reports for the trading team.

Candidate Requirements

Education & Experience

• Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or another quantitative discipline.
• Fresh graduates and candidates with up to 2 years of relevant experience are welcome.

Technical & Analytical Skills

• Strong analytical, numerical and problem-solving abilities.
• Proficiency in Excel and comfort working with large datasets.
• Knowledge of Python, SQL or other programming languages would be an advantage.
• Understanding of basic statistics, probability and financial market concepts.
• Familiarity with backtesting, financial data analysis or systematic trading would be beneficial but is not essential.

Personal Attributes

• Strong interest in financial markets, trading and quantitative research.
• Curious and intellectually rigorous, with a willingness to question assumptions and test ideas objectively.
• Detail-oriented, organised and disciplined in approaching problems.
• Ability to work independently and collaborate effectively with traders.
• Strong sense of ownership and responsibility, particularly when supporting live trading systems.
• Eagerness to learn and develop both technical capabilities and commercial trading judgement.

What We Offer

• Direct exposure to live proprietary and systematic trading strategies.
• Opportunity to work closely with experienced traders and understand how trading decisions aredeveloped and executed.
• Hands-on involvement in the full strategy lifecycle, from research and backtesting to implementation and performance monitoring.
• Opportunity to contribute to building and improving the firm’s systematic trading processes and infrastructure.
• Potential career progression into quantitative research, systematic trading or proprietary trading based on performance and capabilities.