Financial Data Analyst

About the Company: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRTs culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT. In this role, you will serve as a key contributor to our financial data research efforts. You will handle extraction and processing of data from various financial sources like websites, earning releases, quarterly reports, investors presentations , and other ad hoc sources. Your work will play a crucial role in ensuring that traders, quant researchers, and technology teams have access to accurate and timely data, facilitating informed decision-making across the organization.

Responsibilities. Conduct in-depth research and analysis of financial data from multiple sources, including Bloomberg, Thomson Reuters Eikon, S&P Capital IQ, FactSet, and others, along with PDF documents and other relevant platforms. Define robust processes to manually collect data from complex documents. Leverage strong experience in Excel macros and VBA coding to further enhance data handling and automation processes.

Identifying client needs for their business analysis and decisions and making sure to provide them required data when requested. Working on discrepancy found in data by client and getting it resolved with the help of clients suggestions. Performing audits on regular intervals for already handled data, analyzing bulk historical error trends and to rectify the same to minimize the potential chances of future errors in dataset. Stay updated with the latest trends and tools in financial data research, automation, and alternative data sources.

Exposure to and potential involvement in projects related to Large Language Models (LLMs) or ChatGPT, enhancing the data interaction experience. Your present skillset. Bachelors degree in finance, Computer Science, Data Science, or a related field. Proven experience in financial data research and analysis, with a strong understanding of financial markets and instruments.

Excellent analytical skills, with attention to detail and a strong focus on accuracy. Ability to work collaboratively with traders, quant researchers, and technology teams. Effective communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner. Develop and maintain Python scripts to automate the extraction, processing, and validation of financial data from various sources, with an emphasis on cleaning and normalizing data inconsistencies, such as improperly formatted fields in Excel or CSV files.

Experience with data sources such as SEC EDGAR, earnings calls, and alternative data platforms like Quandl. Exposure to Large Language Models (LLMs) or ChatGPT is a plus. QRT is an equal opportunity employer. We welcome diversity as essential to our success.

QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. Show more Show less