Sr. Quantitative Analytics Engineer - Margin Risk & Data

Charles Schwab; Chicago (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Charles Schwab is seeking a data science professional to lead margin and trading data risk analytics, designing and deploying option and exposure models and managing retail trading data sets.

You will collaborate with developers to connect models with banking platforms, document processes for internal and external reviews, and translate insights into actionable risk solutions. This role embraces Agile practices and active cross-team communication.

Qualifications

• Bachelor’s or Master’s degree in CS, Math, Eng, DS or Finance or related field.
• 5+ years in model development, preferably in financial services.
• 5+ years of SQL, data manipulation, and data visualization.
• Strong Python skills; experience with Pandas, NumPy, PySpark.
• Strong fundamentals in option models and retail derivatives trading (Black-Scholes, etc).
• Ability to manage multiple deliverables and drive process improvements.
• Excellent communication 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

Model development

SQL / data manipulation

Python

Communication

Education

Bachelor’s or Master’s degree in Computer Science/Mathematics/Engineering/Data Science/Finance or related field

Tools

SQL

Pandas

NumPy

PySpark

Data Visualization

Job description

Charles Schwab is seeking a data science professional to lead margin and trading data risk analytics, designing and deploying option and exposure models and managing retail trading data sets.

You will collaborate with developers to connect models with banking platforms, document processes for internal and external reviews, and translate insights into actionable risk solutions. This role embraces Agile practices and active cross-team communication.