Senior Data Scientist, Monetary Policy

San Mateo, CA · San Mateo · USD 263,670-322,820 / year · 5+ years experience · Full-time · Onsite · Posted Oct 9, 2026

At a glance

In Data Science & Engineering, you will build the macroeconomic models, simulation frameworks, and policy mechanics that scale Roblox’s virtual economy.
By analyzing Robux currency dynamics, global pricing strategies, and developer exchange policies, your work will directly inform strategic decision-making, financial policy, and executive roadmaps on our road to connecting one billion users.

Develop, build, and refine macroeconomic models to forecast and monitor Robux money supply, velocity, inflation/deflation dynamics, and overall virtual economy health.
Model and inform comprehensive currency exchange policies, encompassing fiat-to-Robux purchase pricing, regional purchasing power (PPP) adjustments, and Developer Exchange (DevEx) rates, to balance global user participation, developer incentives, and long-term platform sustainability.
Design and run counterfactual simulations (e.g. causal inference frameworks, agent-based modeling) to evaluate the impact of proposed monetary policies, sink/faucet adjustments, and marketplace fee changes before execution.
Analyze sink and faucet dynamics across the platform to balance liquidity, optimize developer economy mechanics, and prevent systemic economic imbalances.
Partner closely with Product and Finance leadership to translate complex economic data into actionable policy recommendations and sustainable growth strategies.
Establish robust economic indicators and monitoring systems to track real-time macro-health metrics, liquidity risks, and structural shifts in user behavior.
Communicate complex strategic findings and macroeconomic trade-offs to non-technical stakeholders to directly influence company-level roadmaps and economic policy decisions.
Promote technical excellence in quantitative policy analysis, econometrics, and simulation methodologies across the broader Data Science and Engineering team.

5+ years of industry or research experience applying quantitative economic modeling, econometrics, or simulation frameworks to analyze policy, marketplace dynamics, or user behavior.
Deep expertise in quantitative methodologies including time series forecasting (e.g., VAR, state-space models), causal inference (e.g., synthetic control, diff-in-diff), structural macro modeling (e.g., DSGE), and counterfactual simulation techniques (e.g., agent-based modeling).
Proven track record working with large-scale transactional or platform data to analyze micro-level user behaviors and aggregate them into macro-level economic insights.
Demonstrated ability to lead project areas from scratch, translating ambiguous business and policy questions into rigorous quantitative frameworks and iterative research deliverables.
Strong communication skills to explain complex economic trade-offs, risk scenarios, and simulation results to non-technical stakeholders in Finance and Product leadership.
An Advanced Degree (MSc or PhD) in Economics, Econometrics, Quantitative Finance, Statistics, Operations Research, Physics, or a related quantitative field.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).