Promontory Financial Group

Position Title/Short Description

Full Text of JOE Listing:

Promontory Financial Group, an IBM Company, seeks talented individuals at the Associate and Principal levels to contribute to the firm’s global efforts to provide clients with solutions to challenging strategic, risk management, and regulatory compliance issues. We are seeking individuals to join our Quantitative Solutions Group, a growing team of specialists within Promontory who develop quantitative solutions to meet client needs. Travel and performance of work at client locations globally, for periods of time ranging from days to weeks, is typical.

We offer an attractive compensation package, including generous benefits.

If selected for the position, the successful candidate will be called upon to do some or all of the following:
• Play an active role in business development, client work, and other projects.
• Develop statistical, econometric or data-science models to evaluate and predict the economic performance, market value, and risk of financial products, including residential mortgages, personal loans, credit cards, auto loans, commercial mortgages, secured and unsecured commercial loans, equity investments, fixed income products, and various derivatives (including interest rate swaps and foreign exchange options, etc.), as well as structured financial products based upon these assets.
• Implement calculations related to regulatory capital requirements for large, complex financial institutions, including stress testing and risk-based capital requirements.
• Construct and analyze large datasets to support the evaluation of financial institution compliance with supervisory requirements relating to consumer protection, anti-money laundering, fraud, and privacy.
• Implement robust data sampling methods.
• Produce clear reports describing quantitative analytics projects and their results, interpreting them for both technical and non-technical audiences and relating them directly to significant business issues both orally and in writing.

Education and Experience Expectations:
• At least 2 years of relevant work experience or a graduate degree showing evidence of each of the following:
o Writing reports or articles and making presentations on technical quantitative modeling topics for non-technical audiences.
o Statistical. Econometric or machine learning modeling using large, complex consumer or business datasets.
o Developing quantitative models for risk and performance segmentation and measurement.
o Statistical programming using tools such as R, S+, SAS, Matlab or Python.
• A degree (PhD) in statistics, econometrics, quantitative finance, decision science, operations research, applied mathematics, or other relevant field.