Quant Analyst (Financial Engineer) at MerQube Inc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Financial Data Management, Options Knowledge, Financial Markets, Programming Skills, Collaboration, Backtesting, Modeling, Financial Engineering, Data Analysis, Software Engineering, Client Interaction, Distributed Systems, Financial Applications, Communication Skills, Index Strategies

Industry

Capital Markets

Description

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 Analyst (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 primarily focussed on options. Key Responsibilities: - Develop, model, and backtest new index strategies using Python, with a focus on financial data management. - Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions. - Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines. - Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles. - Work with options data sets and applications such as FactSet, Reuters. Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in Python programming, with a focus on financial data management. - Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable. - Strong interest in financial markets and the intersection of software and quantitative finance. - Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra). - Excellent communication skills and the ability to collaborate effectively with both clients and internal teams. What We Offer: - A stimulating and convivial work environment with ample opportunities for professional growth. - The freedom to make a real impact in a company at the forefront of financial technology. - Competitive compensation package with benefits. 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.

Responsibilities

The Quantitative Analyst will develop, model, and backtest new index strategies using Python, focusing on financial data management. They will collaborate with the Financial Engineering team to create financial engines and indexing strategies for major financial institutions.