Lead Quantitative Analyst

4 weeks ago

Mumbai, India Morningstar Full time

Job Title : Lead Quantitative Analyst, Quantitative Research

The Group : Morningstar’s Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors and Morningstar achieve better outcomes by making better decisions. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the foundation of our company.

The Role: As a Lead Quantitative Analyst, Model Validation 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 Director of Technology, Quantitative Research of the Quantitative Research team.
 

Responsibilities:

Performing independent model validation and review of all Quant models (Risk Models, Morningstar Equity/Fund Ratings) and back-end data points.

E2E verification (data, models) for a variety of analytics and machine learning/AI projects.

Checking stability, conceptual soundness, model assumptions, mathematical, statistical logic, etc.

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.

Guide and build the framework for Model validation, Back Testing, Stress Testing and model Governance for each model that are developed.

Manage the testing design and execution, interpreting and presenting the results.

Requirements:

4 - 10 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,

Deep knowledge in Quantitative methods / econometrics/ statistics and

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: Machine learning, Exploratory data analysis, skills in Python.

Knowledge of AWS, Tableau and ML/ DL algorithms is a plus.

Morningstar is an equal opportunity employer.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

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