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Elroy Goh | Gengen

Elroy Goh


Python Automation & Data Pipelines | Open to Work
Singapore

Python Automation & Data Pipelines | Trading Systems

Summary

I build Python automations and data pipelines for data collection, reconciliation, reporting and monitoring. My 5+ years in commodity trading and risk at Gunvor and Olam include execution workflows, market-data infrastructure and risk dashboards.

Services include API and file ingestion into PostgreSQL or MongoDB, reconciliation and exception checks, automated reports, monitoring and alerts, and trading-system integrations.

We agree inputs, outputs and acceptance checks in writing. I test the workflow, document setup and operation, and explain ongoing API, data or hosting costs.

Based in Singapore (UTC+8), I work written-first with progress updates and handover notes. Occasional short scheduled calls are welcome. Send your workflow, a redacted sample and desired output to scope a focused first milestone.

Education

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    Singapore Management University MSc, Quantitative Finance Grade : 3.96 / 4.0 Aug 2025 - Jul 2026
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    Imperial College Business School, London MSc, Investment and Wealth Management Grade : Distinction in core modules Aug 2016 - Jul 2017

Experience

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    Desk Quant / Trading Assistant Gunvor Group Ltd Jun 2021 - Sep 2025 • 4 yrs 4 mos

    • Built Python automation for real-time signal ingestion, order routing, position reconciliation and exception handling.

    • Optimised a VNPY-based execution platform, addressing race conditions and order/trade state inconsistencies.

    • Implemented monitoring and alerts for fills, strategy halts and operational exceptions.

    • Designed PostgreSQL and MongoDB infrastructure for tick and daily market data, research and backtesting.

    • Researched and validated energy-market trading signals using walk-forward and out-of-sample analysis.

    • Supported trade execution and mentored junior trading assistants on systems and operational workflows.

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    Risk Analyst Olam International Nov 2019 - Jun 2021 • 1 yr 8 mos

    • Researched and implemented commodity portfolio risk models, including VaR, CVaR and Greeks, with backtesting and validation.

    • Built a Python dashboard for real-time risk monitoring, including P&L attribution, delta and VaR across trading books.

    • Supported migration of risk-system database infrastructure, coordinating across trading, development and data teams.

Work Preferences

Role preference
Actively applying
Expected job titles
Python Automation Developer

Skills

Python
SQL
PostgreSQL
MongoDB
Data Pipelines
API Integration
Python Automation
Data Reconciliation
Monitoring & Alerts
Backtesting
Risk Modelling
Trading Systems

Languages

  1. English
    Native speaker
  2. Mandarin
    Native speaker
  3. Cantonese
    Working knowledge

Certifications

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    Financial Risk Manager (FRM) GARP
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    CFA Level I