2019 Summer Analyst Program Data Science
About RockCreek:
RockCreek is a leading global investment management firm that applies data-driven technology and innovation to sustainable investing. Its portfolio managers invest in emerging markets and alternatives, and its asset allocation teams invest in multi-asset class and outsourced CIO portfolios and customized solutions. RockCreek’s client base is made up of sophisticated institutional investors, including endowments, foundations, pension plans, and sovereign funds. The firm is highly focused on the integration of environmental, social, and governance (ESG) factors and sustainable impact across portfolios to generate long-term returns. RockCreek has a culture of diversity, debate, and relentless drive to excel.
Our Firm:
Our team has extensive training and experience across all aspects of investing: portfolio construction, risk management, trading, computer science, advanced mathematics, law, finance, and economics. We come from nations throughout the world, and we are proud of our diversity in race, ethnicity, gender, culture, and life experiences. We share a deep conviction that a dynamic, innovative, diverse team will excel.
Our Values:
Operating on a global scale, we identify and make high-impact investments that benefit students, teachers, nonprofits, and pensioners, among others. We value transparency, partnership, and knowledge-sharing. Our colleagues include CIOs, investment team professionals, and board and investment committee members of foundations, pension plans, and sovereign funds.
Internship Description:
RockCreek seeks interns for data/AI work who can help build best-in-class methods for accessing and analyzing data. They will work closely with RockCreek computer scientists and professionals in mathematics and finance to develop advanced analytical models and machine-learning tools.
Roles and Responsibilities:
- Enhance accessibility, validation, analysis, and utilization of data
- Improve effectiveness of data use by investment professionals
- Operate data platforms to deliver user-friendly analytics
- Explore and introduce new state-of-the-art visualizations and designs
- Assist with using Natural Language Processing techniques to improve the understanding and use of unstructured data
- Assist with the development of tools that leverage machine learning and deep learning models to analyze financial data
Requirements:
- Must be working toward a Bachelor’s Degree or Advanced Degree in data science, computer science, mathematics, statistics, physics, or other quantitative disciplines
- Knowledge of data analysis and advanced knowledge of statistical techniques
- Exposure to machine learning, deep learning, or reinforced learning
- Programming skills in Python, R, VBA, etc.
- Experience with AWS, Azure, or similar cloud platforms is a plus
- Strong verbal and written communication skills are a plus