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MerQube

Financial Engineer

Posted 5 Days Ago
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In-Office
London, Greater London, England
Mid level
Easy Apply
In-Office
London, Greater London, England
Mid level
As a Financial Engineer, you will model, create, backtest, and launch index strategies, leveraging Python and financial data applications, while collaborating with clients and engineering teams.
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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 London 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.

What the position requires:

  • Advanced programming skills in Python, especially financial data management.
  • Bachelor’s degree or higher in Computer Sciences or a quantitative field such as Finance, Mathematics, Data Science, Economics, or Engineering.
  • Master's degree strongly preferred
  • Interest in financial markets, and the intersection of software and quantitative finance.
  • Experience using financial data sets and financial data applications e.g. FactSet, Reuters, Morningstar, Bloomberg, Axioma, 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

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.

Top Skills

Axioma
Barra
Bloomberg
Factset
Morningstar
Pandas
Python
Reuters

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