Senior Quantitative Developer (Python / Optimization / Energy)

About Synct

Synct assists businesses in engaging a global team and provides access to international talent pools by delivering people strategy, recruitment services, and HR solutions.

We help global companies scale—while offering Filipino professionals stable, permanent work-from-home careers.

We support clients across Australia, New Zealand, North America, and the United Kingdom.

About the Role

We are hiring a Quantitative Developer to support an Australia-based client operating in the energy derivatives and fintech space.

This is a full-time, permanent work-from-home position focused on building mathematical optimization models, simulating battery behavior in energy markets, and supporting revenue forecasting and investment decisions.

You will collaborate with international stakeholders and play a key role in ensuring model accuracy, performance, and commercial reliability.

This role requires at least 4 hours of overlap with Australian Eastern Standard Time (AEST).

What You’ll Be Doing

Develop Python-based optimization models to simulate energy market behavior

Translate physical system constraints into mathematical logic and code

Build and maintain quantitative models for pricing, dispatch, and revenue analysis

Run backtesting using historical market data to validate performance

Create interactive dashboards to visualize outputs for non-technical stakeholders

Ensure accuracy, scalability, and production-quality code standards

Identify opportunities to optimize model performance and workflows

What We’re Looking For

Experience as a Quantitative Developer, Quantitative Analyst, or Optimization Engineer

Strong experience with Python, Pandas, NumPy, and optimization libraries

Proficiency in mathematical optimization for real-world commercial use cases

Solid experience working with time-series data, CSV datasets, or market data

Ability to work independently in a permanent work-from-home setup

Willingness to work with AEST time zone overlap

Nice to Have:

Experience with energy markets, power trading, or infrastructure finance

Background in operations research, applied mathematics, or computational physics

Exposure to dashboarding tools (e.g., Streamlit, Plotly)

Why You’ll Love Working With Us

We believe great work deserves great benefits—and the flexibility to build a long-term career from home.

Permanent work-from-home – no office visits

13th-Month Pay

Company-Provided Equipment

HMO with Dental & Life Insurance

18 Vacation Leaves + 6 Sick Leaves

Birthday Leave

Tenure Incentives & Quarterly Perks

Free Meal Every 1st Friday of the Month

Work Details

Location: Work-From-Home (Philippines)

Employment Type: Full-time, Permanent

Ready to Apply?

If you’re looking for a stable, permanent work-from-home career with international exposure in quantitative and energy-focused work, we’d love to hear from you. #J-18808-Ljbffr