Sr Manager, Analytics and Modeling

Charles Schwab Corporation; Chicago (IL); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading financial institution is seeking an experienced professional to join their Trading Risk Analytics and Reporting team in Chicago. This role focuses on quantitative analysis, model development, and governance, with responsibilities including evaluating margin risks and developing innovative risk management solutions within a regulated environment.

Qualifications

• 10+ years of work experience in model development or validation.
• Experience with trading and investment advice models, especially in regulated institutions.
• Strong analytical skills with various tools like SAS, R, MATLAB, or Python.

Responsibilities

• Conduct quantitative analysis of margin and option portfolio exposures.
• Develop models and establish governance around models for regulatory review.
• Present findings to management, auditors, and regulatory agencies.

Skills

Model Development

Statistical Techniques

Java

Analytical Tools

SQL

Education

Advanced degree in a quantitative discipline

Tools

SAS

R

MATLAB

Python

Job description

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, a preferred candidate for this role has been identified.

Trading Risk Analytics and Reporting is a strategic function within the broader Trading Operations umbrella, overseeing a spectrum of Trading models to create innovative products for our clients, and to prudently manage our financial risk using sophisticated quantitative approaches. The team plays a key role in assessing, quantifying and managing risk for the 1st Line of Defense.

In this role, you will have the opportunity to contribute towards the evolution of the Trading Risk Analytics and Reporting team. Some of the responsibilities include quantitative analysis of margin and option portfolio exposures, including: i) evaluating margin risk according to margin lending policy and ii) applying statistical techniques to quantify margin risk for reporting to management and regulators.You will also be developing models and establishing governance around models reviewed by regulatory agencies including the OCC, FINRA, and the Federal Reserve. The role will be based in Chicago, IL. The job responsibilities will include, but are not limited to:

• Reading, analyzing, and interpreting government and industry standards for Margin Loan portfolios and converting them to functional models.
• Studying, analyzing and utilizing large data sets.
• Contributing to an Agile software team to deliver results iteratively.
• Presenting approaches to internal management as well as auditors and consultants.
• Serving as a liaison between Trader, Corporate Risk, Model Risk Oversight, Technology, and other business partners to achieve desired objectives.
• Drive the development of margin methodologies, stress testing models, and risk analytics to ensure accurate and timely margin calculations.
• Providing model documentation for internal and external verification.
• Supporting model validations following guidelines based on SR 11-7, to include an assessment of model usage, documentation, conceptual soundness, data integrity, the control environment, and the software environment.
• Explaining and defending the outcomes of model governance activities to other internal review groups and regulatory agencies.

What you have

Required Qualifications:

• 10+ years of work experience with model development or model validation related to models used in trading and investment advice processes.
• Experience in 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, Regression.
• Model development experience in a regulated financial institution related to trading models.
• Proficiency with Java programming language, including a deep understanding of object-oriented concepts and extensive experience in using Java libraries and frameworks.
• Advanced skill with analytical tools, such as SAS, R, MATLAB, or Python.
• Knowledge of SR 11-7 regulatory guidance and corresponding model governance requirements for banks.

Preferred Qualifications:

• Advanced degree in a quantitative discipline.
• Strong oral and written communication skills.
• Strong SQL experience and the ability to develop, tune and debug complex SQL code.
• Experience in big data platform.
• Web programming and