Prepare regular and time sensitive analytics, visualizations, and reports for risk managers and senior management.
Prepare detailed quantitative modeling and analysis for risk managers and senior management.
Synthesize and communicate complex risk exposures and metrics.
Synthesize and communicate complex risk models and results.
Analyze, implement, and automate underlying data, data flows, and data controls to enhance processes and efficiency.
Conduct statistical analysis, quantitative modeling, and model risk controls.
Work with risk managers, businesses, modelers, and tech to design and build analytical applications.
Work with risk managers, businesses, and tech to design and build models for risk capture and stress testing.
Qualifications:
Undergraduate or master’s degree in finance, business, economics, engineering, sciences, or other related technical disciplines.
Proficient in Python, Java, or Scala in a Unix/Linux environment. Coding in Python, R, SAS (or related statistics programs) preferred, but not required.
Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems.
Skills in data, analytics, databases, data quality. Experience in Tableau, PowerBI or equivalent preferred.
Knowledge of or interest in finance, markets, risk management. Prior experience not required.
Knowledge of or interest in finance, markets, risk management. Prior experience not required.
Education:
Undergraduate degree in a quantitative or technical discipline such as computer science, engineering, and quantitative finance.
Master’s degree or higher in quantitative disciplines a plus.
Risk ManagementFull timeGetzville New York United States$61,120.00 - $85,280.00