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Quantitative Analyst
Wellington Management
Boston, MA, United States
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WELLINGTON MANAGEMENT
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 55 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
POSITION
Wellington Management Company is seeking to add a Quantitative Analyst focused on research data analytics, based in Boston. The world is full of fascinating questions. In this role, you will have an opportunity to research impactful questions about the future of companies, economies, financial markets, new technologies, changing industries, and use those insights to the benefit of thousands of retirees and savers who are counting on us to make prudent financial decisions for them. You will use creative research methods, have industry-leading access to data and experts, and collaborate with colleagues around the world.
The primary focus of the analyst will be to work with investors in the identification of novel data sets and the application of advanced data analytics and machine learning techniques to enhance investment decision making capabilities. The Analyst will be part of a cross-functional team tasked with integrating advanced data analytics techniques into the research process of various teams and disciplines across the firm.
RESPONSIBILITIES
• Conduct applied research into available data sets and analytical methodologies which may prove useful in enhancing the investment process
• Pursue projects in these areas from idea generation and prototyping to potentially validation within the investment community and putting into production
• Act as an internal consultant and research analyst to assist Wellington investors evaluate and pursue data-oriented research projects
• Where feasible, identify and pursue opportunities for incorporation of these research ideas into the Quantitative Group’s stock selection models.
QUALIFICATIONS
We are looking for a self-directed, hard-working team player. This person must be inquisitive, intellectually curious and capable of managing the demands of multiple projects at one time. He/she should be a quick study with high energy. This position is appropriate for individuals with strong analytical capabilities, strong written and verbal communication skills, and an eagerness to apply both in the context of a collaborative investment decision-making process.
Specific qualifications for the position are the following:
• Strong academic record with an advanced degree in a quantitative field such as computer science, mathematics, or statistics
• Experience working with probability, statistics, time-series and cross-sectional analysis, especially with very large data sets
• Proficiency with one or more modern functional and object-oriented programming languages
• Expertise with software frameworks supporting scientific computing, data management, mathematical optimization, and machine learning
• Effective communications skills, both written and oral
• Curiosity and ability to tackle problems creatively; strong work ethic
• Ability to organize, manage, and prioritize time well
• Proven ability to collaborate effectively in a cross-functional team
• Interest in applying computational methods to tackle challenging real-world problems within a domain such as finance and economics
JOB TITLEQuantitative Analyst - Research Data Analytics
LOCATION280 Congress
As an equal opportunity employer, Wellington Management considers all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law.