Omega Point

Who We Are

Omega Point is a rapidly growing FinTech firm seeking to empower the institutional investment community with a modern, factor-based portfolio analytics decision-making system. The Omega Point platform guides over $500 billion in assets under management and provides the opportunity to work with CIOs, COOs, portfolio managers, analysts, risk managers, and quantitative researchers across the world’s top fundamental asset managers, hedge funds, and institutional allocators.

Enhanced by the latest advancements in machine learning and AI, Omega Point’s cloud platform, paired alongside partnerships with some of the largest financial data companies globally, ensures fast, painless integration and seamless fit across the widest range of investment processes. We enable a variety of portfolio analytics and portfolio construction workflows, including research prioritization, position sizing, risk management, hedging, and thematic investing.

The firm is headquartered in San Francisco with offices in New York and Quebec City.

Omega Point offers you...

  • A competitive salary and benefits package
  • Flexibility to telecommute (and not only during the pandemic)...
  • ...or come and work at the Quebec City, New York, or San Francisco offices.
  • A pleasant environment with a talented team
  • One or two summits per year where you can meet the whole team in person and do team building activities. Some of the latest destinations: Miami Beach, Austin (Texas), San Francisco

Omega Point embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Who You Are

The Omega Point family is rapidly growing and we are looking to continue expanding our reach with client-facing roles within the Product Specialist team. As a Product Solutions Associate, you are an inquisitive and experienced problem solver, with an entrepreneurial mindset. The Omega Point network provides exposure to a team with over 50 years of combined experience in data science and quantitative investment management - as such, you thrive on taking intellectual risks and learning from the industry’s most successful asset managers and quantitative experts.

You are (or will become) passionate about utilizing innovative technology, quantitative processes, and unique data to enhance the workflows of investment management professionals. You will work directly with clients to understand the obstacles they face in their day-to-day functions and act as the bridge between them and the internal Product/Data teams to further develop our ecosystem. The tools within the Omega Point platform will be your launchpad to find creative solutions to client problems and leverage a consultative approach to build client and partner relationships.

You Will...

  • Build deep product and industry knowledge
  • Act as a subject matter expert, consultant, and support contact for clients
  • Facilitate training sessions for new clients and ongoing education for existing clients
  • Assist and manage customer success initiatives focused on customer onboarding, activation, and retention
  • Collaborate with the Business team and Product team to align product development priorities with client needs
  • Assist with research projects for blog posts, white papers, presentations, and sales campaigns
  • Explore unique, alternative datasets to demonstrate compelling hedge and thematic ideas to clients

You Have...

  • Bachelors degree in economics, statistics, mathematics, or related field
  • Experience working with datasets
  • Effective communication and project management skills
  • High attention to detail
  • Ability to gain trust and foster client and partner relationships
  • Motivation to take initiative and work both independently and in a team environment

You Might Also Have...

  • Experience in a client account management and/or technical sales role, ideally at a FinTech / SaaS company
  • Experience with APIs
  • Experience with Python or other programming language
  • Experience in the finance / investment management industry
  • Familiarity with factor risk models or equities data is a plus
  • Progress towards or desire to attain CFA or FRM designation