Quant Developer

1 month ago

mumbai, India JPMorgan Chase & Co. Full time

The Research team within JPMorgan Asset Management is looking for an individual to join its India office. The candidate is expected to work alongside the Global and Regional Directors of Research (DoRs) and the Quant Research Team. This is an exciting opportunity to join a dynamic team with the resources and impact of one of the world’s largest companies. We are looking for motivated individuals to push the boundaries of what’s possible in Asset Management.

As a Quant Developer in US Equities, you will assist in identifying equity market trends and investment opportunities for JPMorgan’s Global Equities strategies. In addition to collaborating with investment teams to assess risk and opportunities, you will collect, organize, and assess market and fundamental data. The working hours are EMEA shifts.

Job Responsibilities:

Study and garner insights from our fundamental data; highlighting any opportunities and risks Reference and apply statistical methods to interpret financial data and identify trends. Assist in the development and implementation of data visualization tools and reports. Utilize programming skills in Python to automate data processes and enhance efficiency. Work with SQL to query, extract, and manipulate data from various databases. Collaborate with quant research team to develop and maintain robust data pipelines for collecting, cleaning, and analyzing large datasets. Maintain data integrity and quality by conducting regular audits and validation checks.

Required Qualifications, Skills and Capabilities:

Master's degree in a relevant field such as Data Science, Statistics, Finance, or related disciplines. Minimum 4 years of experience in a similar role, preferably within the financial or investment industry. Proficiency in Python is a must, with a strong emphasis on data manipulation and analysis libraries (pandas, NumPy, . Familiarity with SQL. Experience working with large datasets and applying quantitative analysis techniques. Strong time management skills and the ability to prioritize tasks in a fast-paced environment. Excellent data management skills with a keen attention to detail. Strong problem-solving skills and a proactive mindset. Effective communication skills (both written and verbal) to collaborate with team members and present findings.

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