MerQube is an innovative fintech firm, leading the development of cutting edge technology for rules-based investing

MerQube

Quant Associate (Financial Engineer)

Cloud Support Engineer

As a Quant Associate (Financial Engineer) at MerQube in Bangalore, you'll develop, model, and backtest cutting-edge index strategies across various asset classes (equities, futures, options, multi-asset). You will collaborate with the Financial Engineering team to build MerQube's financial engines and indexing strategies for major financial institutions.  Direct client interaction and platform automation for daily/historical calculations are key.  Proficiency in Python for distributed systems and adherence to software engineering best practices are essential.  Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra) is required.

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 About the job
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 MerQube, established in 2019 by executives from globally recognized financial and technology firms, is at the forefront of disrupting the Index creation and systematic investing landscapes. Utilizing state-of-the-art technology and a cloud-based architecture, MerQube empowers clients to bring innovative ideas to market efficiently. As a Quantitative Analyst (Financial Engineer) at MerQube, you will be part of a dynamic and growing team, contributing to the evolution of the financial industry. Position Summary: We are seeking a highly skilled and motivated Quantitative Associate (Financial Engineer) to join our team in Bangalore, India. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies across various asset classes, including equities, futures, options, and multi-asset classes. Key Responsibilities: <ul><li>Develop, model, and backtest new index strategies using Python, with a focus on financial data management.</li><li>Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.</li><li>Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.</li><li>Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.</li><li>Work with financial data sets and applications such as FactSet, Reuters, Morningstar, Bloomberg, Axioma, and Barra.</li></ul>
 Qualifications: <ul><li>Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.</li><li>Proficiency in Python programming, with a focus on financial data management.</li><li>Strong interest in financial markets and the intersection of software and quantitative finance.</li><li>Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).</li><li>Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.</li></ul>
 What We Offer: <ul><li>A stimulating and convivial work environment with ample opportunities for professional growth.</li><li>The freedom to make a real impact in a company at the forefront of financial technology.</li><li>Competitive compensation package with benefits.</li></ul>
 If you are a passionate Financial Engineer with a keen interest in disrupting the financial industry using cutting-edge technology, we invite you to join MerQube's journey of innovation. Apply today to be a part of our dynamic team reshaping the future of systematic investing and index creation. Equal Opportunity Employer: MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board! This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
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