Quant Analytics Engineer – Equity Options Risk (Hybrid)

Charles Schwab; Westlake (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time for vacation and sabbatical

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab’s Corporate Risk Management team seeks an experienced model developer to design and deploy equity option and exposure models for risk analytics, focusing on margin and trading data.

This Individual Contributor role collaborates with internal developers to connect models with core banking platforms, maintain data sets, and document processes for internal and external review in a hybrid, multi-city environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Data Science, Finance or related field.
• 5+ years of experience in model development, preferably in financial services.
• 5+ years of experience with SQL, data manipulation, and data visualization.
• Strong Python skills; experience with data analysis and manipulation frameworks (Pandas, NumPy, PySpark, etc).
• Strong fundamentals in option models and retail derivatives trading. Experience with option and equity trading models and brokerage margin policies, particularly Black-Scholes, binomial option models, value-at-risk techniques, futures SPAN margin, Monte Carlo methods, and regression.
• Ability to manage multiple deliverables and drive process improvements.
• Excellent communication skills and documentation abilities.

Responsibilities

• Design, improve, and deploy equity option and exposure models for financial risk analytics, focusing on margin and trading data.
• Lead the management and maintenance of retail trading data sets.
• Collaborate with internal developers and architects to connect models with core banking platforms and workflows.
• Document model development, deployment processes, and integration steps for internal and external review.
• Analyze large datasets, identify risk patterns, and translate insights into actionable models.
• Present technical approaches and results to management, auditors, and business partners.
• Contribute to an Agile team, iterating quickly and delivering impactful solutions.

Skills

Python

SQL

Data Visualization

Pandas

NumPy

PySpark

Statistical Modeling

Communication

Documentation

Education

Bachelor's or Master's in Computer Science/Mathematics/Engineering/Data Science/Finance

Tools

C#

Java

AWS

Azure

GCP

Big Data

Job description

Charles Schwab’s Corporate Risk Management team seeks an experienced model developer to design and deploy equity option and exposure models for risk analytics, focusing on margin and trading data.

This Individual Contributor role collaborates with internal developers to connect models with core banking platforms, maintain data sets, and document processes for internal and external review in a hybrid, multi-city environment.