Quantitative Financial Product Specialist

3 weeks ago


London, Greater London, United Kingdom Bloomberg L.P. Full time
Job Summary

We are seeking a skilled Quantitative Financial Product Specialist to join our team at Bloomberg L.P. in London, United Kingdom.

About the Role

This is an exciting opportunity for a seasoned professional with a strong background in quantitative finance and product development to drive business growth and customer satisfaction.

Key Responsibilities
  • Develop strategic partnerships with 3rd parties to accelerate the BQuant roadmap with new data or technology partners, working closely with senior leadership, legal, and CFO teams;
  • Define and articulate a compelling vision for how clients can use BQuant for new workflows based on the Product roadmap;
  • Conduct analysis on our customer/firm profiles, analyze client feedback and requirements to identify new workflows and opportunities to expand the user base of BQuant;
  • Work with the BQuant Product team to develop BQuant notebooks to enhance the BQuant pitch and value proposition that can be shared with sales and implementation team;
  • Work closely with clients and prospective clients to demonstrate and articulate the value of BQuant Enterprise to more sophisticated workflows;
  • Work with the BQuant Product teams and key development partner clients to explore and prototype new workflows on the BQuant roadmap with prospective clients;
  • Build relationships with teams across the organization to align efforts from many departments, including our sales and implementation teams to grow the market presence of BQuant.
Requirements
  • 10+ years of financial industry experience in roles working with front office quant researchers or have a strong understanding and experience of getting an idea from research to execution;
  • Strong familiarity with Python, especially Jupyter notebooks and Pandas;
  • Excellent communication and presentation skills, able to communicate effectively to senior executives and end users;
  • Be a great collaborator, work well across a broad range of teams;
  • Willingness to roll up your sleeves and help out even when it's not in your job description.
Preferred Skills
  • Experience with Spark, ML/AI technologies, public cloud providers such as AWS or Azure.
  • Experience working with intraday, real-time or textual datasets in a financial research context.
Compensation

The estimated salary for this position is around £120,000 - £180,000 per year, depending on experience.



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