Remote Numerical Analyst

Introduction: Shape the Future Through Precision

Can data patterns reveal tomorrow's innovations? As a Numerical Analyst working remotely with our distributed research team, you'll guide decisions that ripple across industries. This role isn't about crunching numbers—it's about unlocking strategic clarity through numerical insight. From model calibration to risk analysis, your work will shape frameworks that support more intelligent systems, scalable infrastructure, and impactful outcomes. If the power of applied mathematics energizes you and you want to turn complexity into strategy, this is where your skills create value.

Key Responsibilities: Transform Numbers into Narrative

Advance Analytical Frameworks

You'll enhance our quantitative modeling toolkits to deliver accuracy and speed in forecasting, scenario testing, and performance benchmarking. Each model you refine becomes the foundation for sound operational and strategic moves.

Build Models that Matter

Your mathematical constructs will guide billion-dollar choices. Whether it's logistic regressions, time-series predictions, or Monte Carlo simulations, you'll convert math into practical tools for our internal and external stakeholders.

Collaborate Across Disciplines

You won't operate in isolation. Expect to collaborate with economists, software engineers, product managers, and policy advisors. Your insights will guide how we prioritize growth levers, optimize user experiences, and assess market volatility.

Interpret with Clarity

Data can be messy. You'll simplify the signal from noise and communicate your insights effectively to diverse stakeholders, regardless of their technical backgrounds. Whether through dashboards or executive summaries, your work will drive decisive action.

Innovate with Empirical Rigor

You'll push analytical boundaries. Do you want to explore new numerical methods or propose a better approach to estimating probability distributions? We encourage initiative—especially when it helps sharpen our decision-making lens.

Work Environment: Remote-First, Always Connected

We embrace a fully remote culture supported by a thoughtful tech stack. Your day might start with a standup on Zoom, followed by deep work in Jupyter or MATLAB and asynchronous feedback via Notion, and conclude with a Slack thread unpacking new findings. While we're dispersed across time zones, we're deeply aligned through outcomes, not hours.

We move quickly, but you'll always have space to focus intensely. Our team culture values quiet rigor over noise. It's not about looking busy—it's about delivering clarity that counts.

Tools & Technologies: Empowered by Math and Code

• Languages: Python (NumPy, SciPy, Pandas), R, MATLAB
• Visualization: Matplotlib, Seaborn, Plotly, Tableau
• Platforms: JupyterLab, Notion, Zoom, GitHub
• Data Tools: SQL, Snowflake, AWS Redshift
• Versioning: Git for reproducibility and transparency

You don't need to master every tool on day one. What stands out is your capacity to absorb new concepts rapidly and apply logic with confidence.

Ideal Candidate Profile: Sharp, Thoughtful, Adaptive

Academic Foundation

You bring a background in mathematics, statistics, data science, or quantitative economics. An advanced degree is excellent, but analytical brilliance matters more than credentials alone.

Intellectual Curiosity

You're not satisfied with surface-level answers. You ask why, test edge cases, and validate assumptions. When a model performs well, you dig to understand why—and when it doesn't, you debug methodically.

Communicative Precision

You simplify complex ideas—whether it's over Zoom or Slack. You can move between equations and plain English with ease, helping others grasp insights that might otherwise get lost in translation.

Results-Driven Resilience

You persevere through ambiguity. When datasets are incomplete, or stakeholder priorities shift, you regroup, reframe, and re-deliver. Impact, not perfection, is your north star.

What You'll Achieve in the First 90 Days

• Deliver your first model analyzing key performance metrics tied to ongoing projects.
• Contribute to a collaborative forecast for product usage under varying market conditions.
• Surface unexpected trends that change how we think about data collection priorities.
• Publish a technical brief highlighting your analytical approach and impact.

Growth Path: Beyond the Analyst Title

We invest in your evolution. Whether your passion leans toward technical mastery, product strategy, or team leadership, we’ll support the trajectory that excites you most. Past numerical analysts have gone on to lead data science pods, shape pricing strategies, and architect scalable modeling libraries.

Salary & Benefits

This is a full-time, remote opportunity with an annual salary of $73,261. In addition to competitive pay, we offer:

• Flexible schedules and async collaboration
• Paid learning budget and conference attendance
• Health and wellness reimbursements
• 401(k) or retirement plan support (region-dependent)
• Generous paid time off and parental leave

Let’s Build Something Insightful Together

If you’re eager to turn ambiguity into insight and love the satisfaction of a model that not only works but informs decisions across teams, we’d love to meet you. Let’s build clarity into every calculation—together.

Apply with curiosity. We hire for potential, not perfection.