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Quantitative Developer - Equity Factor Model

Remote

AI overview

Join a dynamic team focused on developing advanced equity portfolio analytics frameworks, optimizing data processes, and enhancing risk management strategies.

*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts

*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.

Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Research Technology Team, which is responsible for designing and developing equity portfolio analytics framework, including MSCI Barra equity factor risk models.

Principal Responsibilities 

  • Build expertise in Barra and proprietary factor risk models
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
  • Work with portfolio research team on the development and integration of new analytics models into the firm’s delivery platforms 
  • Perform extensive back-testing of existing and new risk factor models
  • Support and run processes for risk management and equity portfolio research

Qualifications/Skills Required

  • Candidates must have a minimum of 5 years of software development experience in finance or top-tier technology companies.
  • Broad understanding of equities markets and portfolio construction
  • Strong working knowledge of software design including algorithms and object oriented design
  • Strong working knowledge of statistics
  • Advanced R and Python programming (must have 5+ years of professional development experience on topics like OOP etc.). Experience in R programming language is strongly preferred
  • Must have hands-on experience in scaling R to Big Data
  • Advanced working knowledge of SQL ; minimum 5+ years of professional development experience
  • Experience developing solutions in ‘big data’ analytics engines (particularly Apache Spark)
  • Strong communication skills required as this role involved direct communication with risk management and trading
  • A successful candidate will be detail oriented, a quick learner and able to adapt to a dynamic high paced environment
  • Applicant should have a demonstrated track record of success in challenging environments
  • Good team player with a strong willingness to participate and help others.

*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts

*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages

Example Corp

We love hiring so much that we built a whole company around it. Fun fact: We’re hiring right now! (not a real company) We work out of a nice office in NYC’s Union Square neighborhood and one in San Francisco by the ballpark. We're ambitious, friendly, driven, and passionate. Everyone who works here is paid well, gets a full slate of benefits, and enjoys amazing office snacks. Want to be a part of a brilliant team working on projects that matter? Join us!   Collaborate with great people.  We're passionate about helping companies build top-notch team, and we couldn't be more proud of the team we've built for ourselves. It's easy to love your job when you get to work with people like this every day.   Grow at Example Corp.  We trust you to do your job from day one and know that your career development is essential to all of our success.   Contribute to a diverse and inclusive culture.  We fully believe that people being their authentic selves do their best work, and Greenhouse prioritizes creating an environment that supports that.   Engage with our founders.  Our leadership team prioritizes accessibility and transparency. Our founders host a monthly AMA (Ask Me Anything) where they answer all questions, both large and small.   Work in an environment that people love. Need proof? We are Best Places to Work winners on both coasts and have a 4.9-star rating on Glassdoor.

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