Remote Quantitative Analyst (Python)

Shape the Future of Data-Driven Decision Making

Can your Python models see patterns where others see noise? Ours can—and we're ready to refine the next generation with you. As a Remote Quantitative Analyst, you'll drive complex forecasting, modeling, and optimization strategies that power crucial decisions across our global operations. This isn’t just a data job—it’s a strategic role where your quantitative insight will influence the systems used by thousands daily. You won’t just run numbers; you’ll define what the numbers mean, why they matter, and how they drive tangible results.

What You’ll Contribute

Model Intelligence That Moves the Needle

You’ll design and implement sophisticated statistical models to predict outcomes and detect signals in financial and operational datasets. These aren’t academic exercises—your algorithms will be embedded in decision workflows that affect millions of dollars in capital strategy. You’ll help the company forecast product demand, monitor credit risk, assess customer value, and measure financial resilience.

From Data to Action

Transform raw data into actionable insights. You'll extract relevant patterns from large, often noisy datasets and build the infrastructure that simplifies decisions across our product, risk, and growth teams. Your ability to balance data exploration with rigorous statistical validation will directly influence key performance metrics across the company. With clarity and precision, you’ll transform findings into actionable strategies and empower others to act with confidence.

Make Strategy Measurable

Collaborate closely with engineers, economists, and product stakeholders to validate assumptions, quantify uncertainty, and refine business initiatives. Your impact will be immediate: optimized pricing structures, minimized financial risk, and enhanced forecasting across global functions. You’ll provide clarity in ambiguity, offering decision-makers quantifiable trade-offs that help reduce guesswork and maximize opportunity.

Tools and Technologies

• Python is your canvas. From NumPy and pandas to TensorFlow or PyTorch, your fluency in Python's data ecosystem powers everything you build.
• Jupyter Notebooks support exploratory modeling and visualization workflows.
• SQL for querying and aggregating large-scale datasets across different sources.
• Bonus if you're experienced with AWS, Docker, or Kubernetes for scalable model deployment.
• Experience with airflow, dbt, or other data orchestration tools is a plus.

Our Remote Work Philosophy

We believe deep thinking needs space. You’ll have the autonomy to focus—no constant pings, no micromanagement. We operate asynchronously but value high-trust collaboration. Our team thrives in a flexible structure supported by Notion for documentation, Git for peer-reviewed code, Slack for day-to-day communication, and Zoom for strategic alignment sessions.

What Sets You Apart

• You think in probabilities, not absolutes. Uncertainty isn’t a blocker—it's an invitation.
• You simplify complexity: whether it’s in code, charts, or strategy documents, your thinking is structured, and your delivery is compelling.
• You’re not just writing code; you’re building operational intelligence. You are aware of the business impact of a model’s precision, recall, and calibration.
• You have experience with end-to-end pipelines—from idea to experimentation, to deployment, and monitoring.
• You’ve worked with teams across product, finance, and operations to embed model-driven logic into business systems.

Your Experience Snapshot

• 3+ years developing statistical models and simulations in Python
• In-depth knowledge of probability theory, Bayesian methods, and optimization algorithms
• Experience with A/B testing frameworks, causal inference techniques, and predictive modeling
• Ability to articulate model limitations and assumptions clearly to technical and non-technical audiences
• Prior experience collaborating with cross-functional teams on product launches, feature experimentation, or risk scoring models

What You’ll Impact

• Enhance customer lifecycle modeling to identify key indicators of churn and effective engagement levers.
• Build dynamic pricing systems that optimize margins without sacrificing volume.
• Create forecast models that improve inventory or capital planning accuracy
• Develop diagnostic tools that measure internal process efficiencies and bottlenecks
• Advance experimentation culture by creating reusable statistical tooling and best practices

What Success Looks Like After 6 Months

• You've deployed multiple models that support core business decisions, with a measurable impact on KPIs
• Your code is clean, reproducible, and integrated with our data stack
• You’re a valued voice in roadmap discussions, offering analytical perspectives on prioritization
• Your models are documented, tested, and monitored with clear success metrics
• You’ve helped upskill peers on statistical rigor, interpretability, and applied machine learning

Compensation & Benefits

You’ll earn a competitive annual salary of $133,877, alongside performance-based bonuses and potential equity. We provide comprehensive health benefits, a professional development allowance, wellness stipends, and flexible paid time off. We invest in your growth, ensuring you have the tools, time, and support to thrive.

Let’s Build Insightful Systems Together

If you're passionate about designing models that drive outcomes and excited to shape strategies that scale, we want to meet you. This is your chance to work on data problems that matter, from anywhere you thrive.

Let’s build smarter, faster, more human-centered systems together—apply today.