Financial Engineer
Quick Summary
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.
- 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…
- 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.
MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.
MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.
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.
Responsibilities
~1 min read- →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.
Requirements
~1 min read- 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.
At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- April 13, 2026
- First seen
- April 13, 2026
- Last seen
- July 31, 2026
Posting Health
- Days active
- 108
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- July 31, 2026
Signal breakdown
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