Job description
Created in 2019 by executives from globally recognized financial and technology firms, MerQube uses state-of-the-art technology to disrupt both the Index creation, and, more broadly, the systematic investing landscapes. 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.
Summary
Are you someone who has a background in programming and keen interest/experience in financial markets? Are you keen to work in an environment that’s stimulating and convivial with countless opportunities for growth and plenty of freedom to make a real impact? This could be the place for you!
We are looking for our next Financial Engineer based in the New York Metropolitan Area. Supported by and reporting to the Financial Engineering Manager, you will be joining a friendly and growing team to disrupt the Index space and participate in the next phase of our growth.
What will you do?
You will be responsible for modeling, creating, backtesting, and launching a wide range of new index strategies across various asset classes. Your exposure will include (but of course not limited to) equities, futures, options, and multi asset classes. Alongside the rest of the Financial Engineering team, you’ll leverage pandas and related python libraries to produce MerQube branded financial engines as well as indexing strategies for major financial institutions.
You’ll interface directly with both clients and MerQube’s platform engineering team, developing and automating processes for daily and historical calculations to construct powerful financial engines. For this, a formidable background in distributed systems, communication skills, and general software engineering principles is essential.
DUTIES:
- Design and implement indices with MerQube best practices to enable internal and external users.
- Analyze and implement tooling for MerQube Indexing platform by working with internal customers to enable scaling and fast business processes.
- Enhance the tests and methodology in an agile environment and provide ongoing maintenance, support and enhancements in existing systems and platforms.
- Handle incoming customer issues and reports by analyzing code, logs and performing debugging to fix production issues quickly.
- Engage with internal and external customers during product development lifecycle through meetings to ensure that requirements are accurate and without ambiguity
- Improve the quality of the overall code during code review process by ensuring that changes adhere to company guidelines to enable consistent high quality of the platform.
- Modify and adapt existing code for new functionality by performing re-factoring, implementing new code changes, and improving code coverage to ensure that changes are safe and
- regression free
- Improve the observability of the systems by implementing logging, building dashboards, and creating alarms to monitor the health of indices in production.
- Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
- Work with financial data sets and applications such as FactSet, Reuters, Morningstar, Bloomberg, Axioma, and Barra.
- 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.
REQUIREMENTS: Master’s degree, or foreign equivalent, in Financial Engineering, Computer Science, Computational Finance or related quantitative field. Through education, training and/or professional experience, qualified candidate must demonstrate knowledge of:
- Python programming, with a focus on financial data management.
- Financial markets and the intersection of software and quantitative finance.
- Financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, and/or Barra).
We believe in creating and preserving an environment of collaboration and growth for all team members, and take steps every day to promote inclusivity, wellness, and fun. With these commitments in mind, we are proud to offer:
- Competitive compensation packages
- Stellar full-time benefits, including medical, dental, vision, and more
- Flexible working arrangements, including opportunities to work remotely
- Community-first environment (we want your colleagues to be your friends!)
- Focus on health, wellness, and work-life balance
- Opportunities to learn, develop, and grow
- PTO, holiday, and sick time
SALARY: $110,000 to $180,000/year
LOCATION: 156 W 56th St., 3rd Floor New York, NY 10019
Our commitment to diversity
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.
