Morningstar - Principal Quantitative Researcher - R/Python

Morning Star; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading company is looking for a Principal Quantitative Researcher to join their Index Innovation Center in Singapore. The role involves leveraging quantitative methods and data analysis to devise innovative solutions for investment challenges. Candidates should have strong programming skills and experience in financial domains. This position offers a unique opportunity to work collaboratively in a dynamic environment.

Qualifications

• 6 to 10 years of experience in quantitative or financial domains.
• Proficiency in programming languages like Python, Matlab, R, or C#.
• Ability to thrive amid ambiguity and uncertainty in problem-solving.

Responsibilities

• Leverage new technologies to solve real-world investing problems.
• Apply advanced analytics and experiment with data to create index designs.
• Publish white papers and influence strategies within the Innovation Center.

Skills

Data Science

Problem Solving

Communication

Education

Bachelor's degree in Computer Science, Machine Learning, Applied Statistics, or Mathematics

Tools

Python

SQL

R

Job description

Morningstar - Principal Quantitative Researcher - R/Python

Job DescriptionRole : Principal Quantitative ResearcherShift : UK Shift (Afternoon) (2:30 pm to 11:30 pm)About The RoleThis is an exciting opportunity for a quantitative researcher who is intellectually curious, loves experimenting with new approaches, searches for ways to solve investment problems, and thrives in a collaborative environment. Reporting to the Head of Innovation, you will work in multidisciplinary environments, harnessing data to develop next generation index solutions.The Index Innovation Center is a dedicated space focused on understanding market trends and customer needs and channeling that knowledge into innovative rules-based solutions. The Center manages the innovation lifecycle from ideation to commercialization, aiming for long-term revenue growth.Job Responsibilities Leverage new technologies and apply problem-solving skills to complex and varied data sets to solve real-world investing problems. Apply advanced analytics and data science methods, experiment with new approaches, and use iterative change to transform proprietary datasets and research into new index designs. Write highly optimized code to advance innovation that improves outcomes for investors. Operate in a multi-disciplinary environment with specialists in investment research, sustainability, engineering, and design. Publish white papers and other thought leadership articles to influence the Innovation Center's recommendations and to support the adoption and commercialization of its ideas.Qualifications 6 to 10 years of experience in a quantitative or financial domain such as equity research, credit research, investment management, risk management, or analytics. Bachelor's degree required; preferably in the field of computer science, machine learning, applied statistics, or mathematics. Experience in using scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structured and unstructured data. Ability to thrive in an environment that includes ambiguity and uncertainty in the pursuit of breakthrough solutions. Knowledge of investing, modern portfolio theory, and portfolio construction processes. Proficiency in at least one programming language (Python, Matlab, R, or C#) in addition to SQL. Excellent documentation habits, presentation skills, and oral and written communication abilities, including the ability to distill complex ideas into simple explanations.(ref:hirist.tech),

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