Quantitative Advisory Services
The Quantitative Advisory Services works with clients in areas such as market risk and credit risk, providing financial services with regulatory and risk modelling challenges. Some of the major duties are data analysis to identify patterns. Development of statistical models to forecast items like credit loss, examination, and model validation to ensure the precision of outputs. Translating technical methodologies and results for non-technical audiences into digestible knowledge.
Mentors from the field
Learn about the field . What day to day work would look like . Growth opportunity & prospects . Interview preparation . Transition advise . Networking
Journalist, communist & editor for Hindustan Times, DNA & Nat Geo Traveler. She's covered stories from travel start-ups, communities, gentrification, gender issues, and human rights.
Career prospects & criteria
Understand the prospects within the career & the education & other skills you need to make it.
Bachelor's degree in economics, statistics, computational finance, mathematics, engineering, data science, physics
Master's degree in economics, statistics, computational finance, mathematics, engineering, data science, physics
What you need to get started
Must have 2 years of experience with statistical and numerical techniques or technical analytics, including regression analysis or machine learning.
Logical reasoning skills
Experience with programming or scripting in Python is a plus
Identification, evaluation, selection, and monitoring of existing and new investments
Provide support for various portfolio operational matters, including accounting, risk management, and other governance-related tasks