Analyst, Model Development/Monitoring/Implementation

Job Summary:
Analyst, Risk Analytics, is a key member of the Non-financial Risk Quantification team, responsible for the development and maintenance of high quality risk models. The analyst will ideate, develop and test quantitative modeling and measuring techniques, and support other aspects of analytics including automation, data engineering and present ideas and result to senior leadership. The role will cover several aspects of model lifecycle including development, monitoring, recalibration, and implementation of risk models in R, Python, and similar scripting applications.

Job Title: Analyst, Non-Financial Risk Quantification
Location: Bangalore
Experience: 0 - 2 years

Major Duties
Research and evaluate quantitative approaches for model development; coding, testing and validation.
Assist team members in the statistical model development, monitoring, implementation and model validation for CCAR and Basel models
Execution of Operational Risk Capital Models (Advanced Measurement Approach, CCAR Stress Testing, Pillar 2 models etc.), and resolution of issues as and when required. Support the cooperation with model users by preparing sensitivity analyses and conducting investigations that help further their understanding.
Pitch, develop, and test new ideas and compare the model performance against the legacy statistical models
Liaise with Northern Trust s Treasury team, Economic Research, Data Analytics, Audit and various other Business Units in order to understand the use case and solicit feedback
Examples of some of the commonly used techniques used by our team include OLS and Logistic Regression, Time Series Regression, Monte Carlo Simulation, Copulas etc.

Qualification: Bachelors/Masters

Skills Required: Statistics, R Programming, Python, Power BI, Latex etc.