The company

Tracing our roots to 1928, Wellington Management is one of the world’s largest independent investment management firms. With US$1 trillion in assets under management as of June 30, 2017, we serve as a trusted adviser to institutional clients and mutual fund sponsors in over 55 countries. Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative culture of inclusivity because we believe multiple perspectives lead to more informed investment and business decisions. As an Equal Opportunity Employer, we welcome people with diverse life experiences, fresh ideas, and specialized subject-matter expertise.

The 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 Strategy 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 Strategy team. 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. You 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.

RESPONSIBILITIES

-  Help refine architecture, build out supporting infrastructure, and contribute to rollout of new quantitative models

-  Complete complex analytical projects and statistical analyses across securities, asset classes and economic relationships

-  Build predictive models using various data sources to build out data-driven investment hypotheses

-  Assist with portfolio construction, factors, risk management, and trading analysis

-  Create visualizations and dashboard views using various data sets

-  Manipulate both structured and unstructured data

-  Research macroeconomic themes and factors

Qualifications

-  Bachelor’s Degree in Computer Science, engineering, sciences, or related field

-  3+ years of experience as a software developer supporting rapid paced delivery

-  Strong software design skills including object oriented and functional designs

-  Strong analytical and communication skills, both written and verbal are required.

-  Working knowledge of SQL and SQL performance tuning.  Direct experience with Oracle is a plus

-  Experience with Amazon Web Services including CloudFormation, Lambda, and EC2 is a strong plus

-  Must be comfortable with test driven development, continuous integration, and agile development methodologies

-  Experience in Financial Industry or mathematical background is a strong plus

-  Curiosity and ability to tackle problems creatively

-  Strong work ethic

-  Focus on continuous improvement

-  Willingness and ability to take risks and try new things

-  Strategic mindset

-  Self-initiative and ability and interest to learn independently and from peers

-  Ability to integrate and synthesize relevant information, and test hypotheses using statistics and modern data science techniques