Margin Risk Analytics Engineer

Charles Schwab

Austin (TX)

On-site

USD 140,000 - 200,000

Full time

3 days ago

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Benefits offered by this job

401(k) with company match

Paid time off and sabbatical after 5+

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a senior data scientist for the Margin Risk & Data Solutions team in Austin to lead data science projects focused on margin and trading data. You will evaluate client and market data, build and validate models, and document production processes for risk management.

This is an Individual Contributor role with location flexibility and cross‑team collaboration, including internal developers and auditors.

Qualifications

5+ years of model development experience, preferably in financial services.
5+ years of SQL, data manipulation and data visualization experience.
Strong Python skills with data analysis/manipulation frameworks (Pandas, NumPy, PySpark).
Knowledge of option models and retail derivatives trading (Black-Scholes, VaR, SPAN).
Ability to manage multiple deliverables and communicate clearly.

Responsibilities

Design, improve, and deploy equity option and exposure models for risk analytics.
Lead management and maintenance of retail trading data sets.
Collaborate with developers to connect models with core banking platforms.
Document model development, deployment processes, and integration steps.
Analyze large datasets, identify risk patterns, and translate insights into models.
Present approaches and results to management, auditors, and partners.
Contribute to an Agile team delivering impactful solutions.