Investment Science Associate
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. POSITION
The world is full of fascinating questions. In this role, you will have the opportunity to research impactful questions about the future of companies, economies, financial markets, new technologies, and changing industries. You will use those insights to benefit thousands of retirees, savers and institutions who are counting on us to make prudent financial decisions on their behalf. Our work allows clients to fulfill their long-term financial goals - whether it's a foundation seeking to fund cutting edge medical research or a retired teacher saving for their grandchild's college tuition. As a member of our Investment Science function, you will implement creative research methods, access industry-leading data and experts, and collaborate with colleagues from around the world to achieve these insights on behalf of our clients.
Specifically, we are seeking qualified candidates to join our Investment Science Associate (ISA) Program. As a select member of the Program, you will provide quantitative research to the firm's talented community of investors, pursuing projects from idea generation and prototyping, to validation and production. You will be immersed in complex data sets, faced with compelling investment challenges and encouraged to solve problems through the use of innovative techniques. Investment Science Associates will work with and learn from exceptional investment professionals through cross-platform, data driven projects and assignments. Ongoing training and development will be provided to further develop and hone your quantitative and fundamental skillset. In this role, you will be at the forefront of an exciting evolution for the firm, with dedicated focus and resources directed towards the expansion of our Investment Science function. Our campus programs are aimed at developing our next generation of talent; through the Investment Science Associate program you will play a pivotal role in this transformation, engaging in critical work that will directly impact our clients and the firm.
Investment Science Associates will act as internal investment science consultants and research analysts to assist in evaluating and pursuing quantitative and data-oriented research projects. Research topics can range from the global implications of a surprise election result to why customer traffic has suddenly slowed on a website or local restaurant. Through the use of innovative data sets and analytical methodologies, Investment Science Associates will conduct applied research to enhance the firm's investment process. An example of a project could be:
Applying natural language processing techniques to corporate earnings transcripts and regulatory filings with the goal of systematically extracting entity references and linkages as well as market or management sentiment. Collaborating with investors across the firm to explore the potential usefulness of these signals in order to generate alpha within both systematic and fundamental investment processes. Prototyping user interfaces and data visualization tools to make such data readily accessible and interpretable.
Additional examples of the nature of the work include:
- Completing complex analytical projects and statistical analyses across securities, asset classes and economic relationships
- Building predictive models and identifying and validating public data sources to build out data-driven investment hypotheses
- Assisting with portfolio construction, factors, risk management, and trading analysis
- Creating visualizations and dashboard views using various data sets
- Manipulating both structured and unstructured data
- Researching macroeconomic themes and factors
The ISA Program aims to engage curious scientific minds with meaningful alpha generating work, while providing ongoing opportunities to further strengthen and diversify their quantitative investment skillset. You will work closely with investors across the organization to leverage quantitative techniques to drive positive impact on the investment results we generate for our clients. Assignments are expected to be within the Investment Science function, but retain flexibility for projects that will infuse investment science across our investment platform. The nature and duration of the assignments will be driven by aptitude, desire, and business need. Additionally, Investment Science Associates can have the opportunity to explore global assignments in our offices in Hong Kong, London, Singapore, and Tokyo.
The duration of the Program is up to five years in length. Longer term, an Investment Science Associate career path during and after the five-year period is based upon individual skill, organizational needs, personal interest and future potential.
We expect new entrants to join the Program in the summer of 2021. Candidates that are successfully hired will join in on the Boston-based in-house training curriculum focused on developing accounting, financial statement analysis, and financial modeling skills, to complement quantitative training (e.g. statistics, data science, and scientific investing), as well as providing broad exposure to the investors and investment landscape at WMC. Supplemental training will be provided on a continuous basis throughout each participant's tenure in the Program along with mentorship from experienced investors and peers. In addition, participants are encouraged to pursue the CFA exam (covered through our Tuition Reimbursement benefit) to further their financial acumen.
We will consider undergraduate, masters and PhD candidates with broad majors and backgrounds that have demonstrated:
- Strong academic record with a rigorous course load
- Interest in applying computational methods to tackle challenging real-world problems within a domain such as finance and economics
- Experience with statistical inference and data science; training in machine learning or natural language processing a plus
- Strong hands-on technical skills; fluency with one or more languages like Python, R, Spark, Java, C++/C#
- Experience working with probability, statistics, time-series and cross-sectional analysis
- Expertise with software frameworks supporting scientific computing, data management and mathematical optimization (e.g. R, Pandas, Matlab, etc)
- Effective communications skills, both written and oral
- Strong work ethic
- Ability to organize, manage, rotate priorities and prioritize time well
- Proven ability to collaborate effectively in a cross-functional team
Additionally, we seek candidates who display the following characteristics:
- Creative thinking and passion for using data to answer questions
- Ability to integrate and synthesize relevant information, and test hypotheses using statistics and modern data science techniques
- Focus on continuous improvement
- Willingness and ability to take risks and try new things
- Strategic and growth mindset
- Self-initiative and ability and interest to learn independently and from peers
- Intellectual curiosity, humility, agility, and comfort with ambiguity
The size of the Program is intentionally kept small to ensure participants receive personalized attention. There is a competitive and rigorous interview process for each applicant.
Qualified candidates should submit their resume and unofficial transcript via this career site. Please note that it is required that all documents be submitted in pdf format.
1st Round Process
First round consists of a series of behavioral interviews with the Early Career Investor Development Program Director, Recruiter, and/or investment business leaders.
2nd Round Process
Second round consists of a panel of interviews with Investment Science researchers and business leaders and a case study to assess your science skill set and aptitude.
Wellington Management Company, LLP is committed to providing equal employment opportunities for all qualified persons without regard to race, color, sex, sexual orientation, age, religion, nationality, ancestry, handicap, or veteran status. SKILLS JOB TITLE
Investment Science Associate LOCATION
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 .