Embedded Data Scientist, Private Investments

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 60 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.

We are transitioning to a hybrid work environment where both remote work and the office play a critical role. Our vision is a future where all employees are empowered to work flexibly to drive the best outcomes for our clients. Flexible work is a mindset and a core value. Our employees are encouraged to work remotely two days a week as a standard practice and will have flexibility in terms of working hours.

THE TEAMS - INVESTMENT DATA SCIENCE AND PRIVATE INVESTMENTS
The Embedded Data Scientist will be a part of Wellington's Investment Data Science (IDS) group and embedded with the Private Investments team. IDS is a growing team that has the vision and potential to impact investment outcomes throughout the firm. IDS partners directly with Wellington's world-class community of investors, applying data science and machine learning to tackle a wide range of questions about companies, industries, and the global economy. The environment is fast-paced and collaborative, and we have deep access to data from both public and proprietary sources. Since data science is a mash-up of multiple research disciplines, we have built a team that features diverse backgrounds and complementary skills. We draw on a range of modeling techniques like Bayesian statistics, machine learning, and natural language processing, and work with large structured and unstructured sources of data to produce investment insights. IDS delivers these insights in the form of dashboards or visualizations, as predictive models, and, in some cases, as signals that can be plugged directly into systematic investment strategies.

The Embedded Data Scientist will work closely with the Private Investments team. Wellington has been investing in private markets for many years, and the Firm launched its first dedicated private capital fund in 2014. Today, the Private Equity Platform is one of the fastest growing investment groups within Wellington. Private Investments currently manages approximately $5 billion in committed capital across a broad range of private equity strategies including late-stage growth, multi-stage sustainability venture, early-stage venture, and hybrid financials. We have built broad private market capabilities powered by the innovative spirit of a boutique and the resources and stability of a global investment manager. We aim to use our global scale, sector research, sustainability expertise and market reach to help partner with innovative, disruptive companies in the private market. Today, we invest globally and focus on consumer, technology, health care, biotechnology, financial services, and climate technology. Our industry networks, deep insights, and our private and public markets expertise make us strong partners for entrepreneurs.

RESPONSIBILITIES
• Research and develop data-driven insights related to private companies and deal sourcing, and work with the team to connect these insights to investors in publicly-traded securities as well.
• Collaborate and build relationships with Wellington's private investments community to source new project ideas and help investors harness data science to enhance their process.
• Build expertise on a subset of Wellington's alternative datasets to answer investor questions and proactively disseminate data-driven research.

QUALIFICATIONS
We believe in building a diverse team with varying qualifications and experiences. As such, we are looking for Data Scientists who can bring not only technical and quantitative skills, but also unique perspectives to the many questions and problems we are tackling. The ideal candidate is a self-directed, hard-working team player. This person must be intellectually curious and capable of managing the demands of multiple projects at one time. The Data Scientist 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:
• Familiarity with financial markets and investing, with interest or experience in private investments.
• Interest in applying computational methods to tackle challenging real-world problems in the domain of finance and economics.
• Deep experience working with probability, statistics, time-series and cross-sectional analysis, especially with large data sets.
• Proficiency with Python or a similar object-oriented programming language.
• Expertise with software frameworks supporting scientific computing and machine learning.
• Advanced academic degree or equivalent experience in a quantitative field such as computer science, mathematics, or statistics.

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal 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 . If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMCANINQ@wellington.com .