Quantitative Analyst

1 day ago

Mumbai, Maharashtra, India beBeeQuantitative Full time US$ 80,000 - US$ 1,50,000

Job Title: Quantitative Researcher

We are a fintech platform backed by industry leaders and create engaging wealth experiences through AI and investment intelligence powered personalization.

Our mission is to change the world of wealth in ways that personalization has changed the world of movies, music and more.

We use design and behavioural thinking to enable engaging experiences through software and APIs.

We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and advice divisions.

Key Responsibilities:

Develop, implement, test and maintain the core algorithms and R&D framework for our investment and advisory platforms.

Take part in building out the R&D back testing and simulation engines.

Thoroughly vet investment algorithmic results.

Contribute to the research data platform design.

Investigate datasets for use in new or existing algorithms.

Participate in agile development practices.

Liaise with stakeholders to gather & understand functional requirements.

Take part in code reviews ensuring quality meets highest level of standards.

Develop software using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live.

Support research innovation through the creative and aggressive experimentation of cutting-edge hardware, software, processes, procedures and methods.

Qualifications / Skillsets:

Experience in a quant research & development role.

Proficient in Python, Git and Jira.

Knowledge in SQL and database development (PostgreSQL is a plus).

Understanding of R and RMarkdown is a plus.

Bachelors degree in computer science, computational mathematics or financial engineering.

Masters degree or advanced training is a strong plus.

Excellent mathematical foundation and hands-on experience working in the finance industry.

Proficient in quantitative, statistical and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn etc.

Strong communication (written and oral) and analytical problem-solving skills.

Strong sense of attention to detail, pride in delivering high quality work and willingness to learn.

An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds etc.) and financial tools (such as Bloomberg, Reuters etc.)

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