The Schwab Equity Ratings Department is a quant team located in Chicago which primarily focuses on domestic and international equity models. The Software Development Engineer is part of the Schwab Asset Management Solutions Technology team supporting the Schwab Equity Ratings Department’s Quantitative Development Team.
The team’s primary objective is to ensure reliable model executions and dependable research data and create advanced modeling and research tools. In order to ensure reliable execution and dependable data, the Development Engineer will assist the team in developing and evaluating financial data integration mechanisms and controls.
What youâre good at:
The Software Development Engineer position combines the skills of a financial analyst and to a lesser extent, a data scientist.
Will work in the programming languages of SQL and R on platform improvement projects involving model controls and source data changes.
Will also assist in monitoring the weekly SERD model production process, including investigation of data anomalies, errors and identifying potential solutions.
A successful candidate will be highly proficient with financial databases, moderately proficient in SQL, and possess a willingness to learn the programming language of R. Additionally, the position requires interaction with a wide variety of technologists, quantitative researchers and occasionally various vendors.
This role is based in our 150 S. Wacker Dr. Chicago downtown office location. Occasional weekend work is required, typically no more than 30 minutes to an hour of time, with overtime compensation.
What you have:
A bachelor’s degree in a financial, engineering or quantitative discipline is preferred
Professional certifications or progress towards a designation such as CFA, and/or CPA a plus
Strong familiarity with financial market data is required. Hands-on experience with financial analysis and database systems such as FactSet, Refinitiv QA Direct, Clarifi, Bloomberg, and direct feeds.
Experience building/maintaining extract, transform and loading methods a plus, including data quality checks and some quality assurance
In depth knowledge of specific financial databases such as IDC, Compustat, Worldscope, CRSP and IBES a strong plus
Good SQL skills and an understanding of normalized data schemas.
Experience in systematic or quantitative equity modeling strategies a plus.
Must be able to effectively interact with IT professionals with requisite knowledge of modern data archives like MongoDb, bitbucket, Splunk
Must be methodical, detail-oriented, and able to handle the development and reliable execution of repetitive processes
Must be willing to be involved in occasional model production trouble-shooting on weekends
Demonstrated passion for providing proactive solutions
Positive attitude, enthusiasm and strong work ethic with high level of integrity
Excellent communication, problem solving, and presentation skills to influence and build consensus among your team members and senior leadership
Great teammate. Must be able to work toward common goal and achieving consensus