Senior Game Economy Designer (Python/SQL) Up to $1900

Top 3 reasons to join us

• Valuing our people with competitive compensation
• Chance to grow up in your career path
• Yearly Performance Bonus (2 Times/Year)

Job description

About the Role

We're looking for a Senior Game Economy Designer to own the mathematical backbone of our chance-based digital game titles — from payout-rate and volatility tuning to prize-tier mechanics and compliance-ready math models. You'll work closely with gameplay designers, engineers, and QA to ship games that are both commercially strong and fully compliant with relevant regulations.

What You'll Do

- Design, implement, and fine-tune game economies: payout rate, volatility, hit frequency, and payout curve structures.

- Build and calibrate prize-tier and bonus/progressive reward systems in partnership with gameplay designers.

- Define core-loop and reward-structure math alongside the design team.

- Design, build, and run large-scale simulations (Python-based Monte Carlo simulators) to validate math models and analyze player behavior for optimization opportunities.

- Prepare and support third-party compliance/certification testing with audit-ready math documentation and compliant settings.

- Monitor live game performance post-launch and recommend balancing adjustments based on real player data.

Your skills and experience

What We're Looking For

Language: English (working proficiency required)

- 3+ years of hands-on numeric/economy design experience on chance-based digital game titles (e.g., reward-reveal, card-matching, or rapid-round formats).

- Proficient in Python — able to independently design and write simulation tools for payout-rate, volatility, and reward-curve validation, not just run existing scripts.

- Strong Excel skills — macros, probability modeling, payout table construction.

- SQL for querying live game/player data (a plus).

- Solid understanding of player segmentation, risk control, and engagement/session pacing.

- Sharp logical reasoning and comfort interpreting large simulation/analytics datasets.

Nice to Have

- Prior experience taking a title through third-party regulatory/compliance certification.

- Familiarity with SEA and/or LatAm market player behavior and volatility preferences.

- Experience building reusable simulation frameworks (batch/parallelized runs, config-driven parameter sweeps).

Why you'll love working here

• Allowance: 80k/day
• Team building
• Performance bonus
• Holiday and Tet gifts
• Working time: 9AM - 6.00PM with 1 flexible hour, 60-minute break between sessions, Monday to Friday
• 14 months’ salary means a bonus for half a year’s work equivalent to one month’s salary, and it is also granted based on performance evaluation results.