Financial Engineer

MerQube Inc • New York, NY

7d • Onsite

About The Position

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 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 Financial Engineer to join our team in Manhattan, New York. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.

Requirements

• 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 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.

Nice To Haves

• Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level