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.

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KEY SKILLS

  • Graduating with a BS or MS degree in a STEM field

  • Superior quantitative and logical reasoning skills

  • Interest in strategic games and/or competitive activities

  • Experience with programming or scripting in Python is a plus

  • Assist in the identification, evaluation, selection, and monitoring of existing and new investments

  • Attend/present at investment committee meetings on PE related recommendations, as needed

  • Maintain reports to track and monitor prospective and existing investments, including performance attribution

  • Provide support for various portfolio operational matters, including accounting, risk management, and other governance-related tasks

  • Conduct special projects (e.g., analysis of private equity holdings, portfolio exposures, performance attribution, portfolio construction, investment strategy, industry trends and office technology initiatives)

  • Produce written reports and presentations, as needed

  • Represent the institution to the investment community, including attending investment manager meetings and industry conferences

PROS

  • Good payscale

  • A lot of career opportunities

  • Employment growth

  • A lot of learning

CONS


  • No particular work ethics

  • Employees are alienated

  • No job security

OPPORTUNITY TYPES

GOT WHAT IT TAKES?

  • Government

  • Companies

  • Good communication skills

  • Good logical reasoning skills

  • Good analytical skills

  • Teamwork

KEY OPPORTUNITIES

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Interesting Facts about the career

  • Quantitative data makes measuring various parameters controllable due to the ease of mathematical derivations they come with. Quantitative data is usually collected for statistical analysis using surveys, polls or questionnaires sent across to a specific section of a population. The retrieved results can be established across a population.

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