AdviserLogic | Jobs | Senior Quantitative Analyst | BigDataKB.com | 13-02-22

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Job Location: Mumbai

The Role: As a Senior Quant Analyst, you would be involved in development of model validation frameworks for approved research products from prototype phase to a fully-fledged, scalable, and client-facing service. These research products leverage deep principles of Statistical, Machine Learning, AI and built on massive amounts of Financial datasets. Often, these services must be integrated into Morningstar s platform of financial products, such as Direct, so that our clients can use these software tools in the investment decision-making process.

We are looking for an individual who possesses strong Econometric knowledge coupled with technical skills and leverage them to build efficient model verification frameworks for evolving FinTech solutions. Alongside the person should have a passion for investment research.

This position reports to the Senior Manager, Quantitative Research of the Quantitative Research team.

Responsibilities:

  • Performing independent model validation and review of all Quant models (Risk Models, Morningstar Equity/Fund Ratings/ Optimizer) and back-end data points.
  • Guide and build the framework for validation each model that is developed
  • Manage the testing design and execution, interpreting and presenting the results
  • Checking stability, conceptual soundness, model assumptions, mathematical, statistical logic, etc.
  • E2E verification (data, models) for a variety of analytics and machine learning/AI projects.
  • Liaise between business, technical and modeling teams, senior management, and governance committees to build efficient model verification frameworks.
  • Develop codes in Python, SQL or similar languages and interface with Morningstar s big databases to support model validation. Automate process to reduce human intervention.
  • Build rich dashboard to support Quality Checks(interactive / automated / visual) that improve the interpretability of predictive models and underlying data
  • Supporting model runs in model development process, research new methodologies.

Requirements:

  • 3 – 6 years experience in analyzing/ building financial models preferably in a FinTech environment
  • Hold a Masters degree in a quantitative field, e.g. Mathematics, Physics, Engineering, Finance, Economics with experience in financial modelling and/or model validation
  • Deep knowledge in Quantitative methods / econometrics/ statistics
  • Strong in Regression analysis, Time series Analysis, optimization
  • Knowledge of Risk Models and Optimization algorithms
  • Good working knowledge of Python and SQL
  • Good to have: Knowledge of Machine learning models, Exploratory data analysis
  • Knowledge of AWS, Tableau and ML/ DL algorithms is a plus

Apply Here

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