Morningstar India Pvt Ltd
The Group: Morningstar, Inc.s mission is to empower investor success. We were founded on the simple idea that when people have good investment information, they make better choices that lead to better outcomes. The Investment Management group consists of our Managed Portfolios and Workplace solutions teams. Within Morningstar Investment Management, LLC, the Workplace group offers a range of retirement solutions, including managed accounts, custom models, and advice service by acting in a fiduciary capacity or as an independent financial expert, as defined by ERISA: IFE, 3(28), or 3(21) capacity. The flagship product is our Morningstar Retirement Manager which provide personalized advice on how to invest for retirement,
a savings strategy, and builds portfolios for individual investors. The Workplace team consists of the investment management team, the research team, the Advice Engines team, the operations team, and the Workplace client services team. The goal of these teams is to work together to build and maintain well-diversified fund portfolios while helping our clients achieve financial success.
The Role: Morningstar is seeking a Quant Developer to join our team of product management professionals. This person will work across our Asset Allocation, Wealth Forecasting Engine (WFE), and Retirement Planning tools. You will collaborate with research, development, and QA teams to ensure successful product support & enhancements. You will be responsible for supporting data intensive asset allocation tools and workloads built on Python. Enforce quality, performance standards and best practices for automate asset and product allocation frameworks that are deployed as part of Morningstar Investment Management. You are an individual who possesses strong intellectual curiosity, technical skills, loves cloud technology, and has a passion for working in Investment Management / Fintech Space. You also enjoy working with technical teams on complex problems and are always looking to improve yourself and others around. This position reports to the Manager of the Quantitative Research team.
Build & deploy applications build on Python, AWS.
Working closely with quants to determine application requirements.
Designing and coding software across the full set of engineering pipelines for scalable asset allocation tools built over large financial datasets.
Build re-usable Python packages written in Object Oriented fashion for deploying data intensive analytics applications.
Build proven Portfolio Construction frameworks as scalable code in a programming language (R, MATLAB, Python, C#, C etc.)
Execute change management process and perform minor bug fixes.
2-6 years experience working/coding in Python related projects.
Experience with Python packages as Pandas, Scipy, Sklearn, numpy, matplotlib, OOPS is added plus.
Experience with Numerical Optimization Techniques (Convex & MILP) in Python.
Knowledge of applied and theoretical statistics, linear algebra and vector manipulation, and machine learning techniques.
Understanding of the nuances and pitfalls of common models and modeling approaches, such as analyzing time-series based data vs. other types
Experience writing unit tests for scalable codes in Python.
Knowledge of AWS/Cloud ecosystem is an added plus.
Experience working with large, complex tables under Postgres, SQL Server.
Expertise with DevOps tools (e.g. Splunk, Git, uDeploy, Jenkins, Control-M).
Experience working under Agile software engineering environment.
Experience monitoring production applications built on Python / R.
Experience with UNIX/Linux including basic commands and shell scripting.
Familiarity with mutual fund, fixed income, and equity data is a plus.
Intellectual curiosity for the world of quantitative research.
Morningstar is an equal opportunity employer
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
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