Intern

AllianceBernstein

Hong Kong
Training
Full-time

1 month ago

Multi-Asset & Hedge Fund Solutions Summer InternSummer Interns contribute to and learn from AB’s innovative use of technology, deep researchcapabilities, global presence, and breadth of investment management expertise. The flat corporatestructure allows Interns to become deeply integrated into the team and contribute meaningfully toinvestment decision-making early on in their careers.Who You’ll Work With:AllianceBernstein Multi-Asset Solutions actively manages a wide array of asset allocation services forglobal institutions, high-net- worth individuals and retail mutual fund investors. The group’s macro andquantitative research insights are used to develop innovative investment products and drive investmentdecisions. We use quantitative and fundamental research techniques that are highly adaptive to thecurrent market environment. We leverage these research insights to achieve outcomes that target specific client objectives. Multi-Asset Solutions oversees a range of investment services that are experiencing strong growth and have great potential for further breakthroughs. These include Thematic Outcome Oriented Solutions, Alternatives, Total Return, Risk Managed strategies, Retirement, and Systematic Strategies. The total assets under management across all these portfolios exceed $180 billion USD.What You’ll Do:The Multi Asset Solutions Summer Internship will provide interns the opportunity to perform quantitative and fundamental research across the range of asset classes including equities, bonds, currencies, commodities and derivatives. This research entails analyzing factors that drive capital markets, building models that predict asset returns, generating optimal portfolios and performing simulations. You will also get exposure to the portfolio management process, including investment decision making, portfolio implementation and monitoring. Previous programs have included testing factors for inclusion in multiasset return models, designing protective strategies using derivatives, helping PM developing machine learning strategies, analyzing fund manager performance for inclusion in multi-manager portfolios, as well as supporting portfolio managers in making and implementing asset allocation decisions.What We’re Looking For:

Master/Phd degree candidates in computer science, engineering, math, finance
Cumulative GPA of 3.5 or better
Candidates are available to work full-time from June through August
Coding experience in Python. Additional experience with Machine learning and SQL a plus
Strong quantitative, critical thinking, and communication skills
Some coursework in finance and economics a plus
Detail-oriented, ability to multi-task and work in a fast-paced environment

Hong Kong

AllianceBernstein

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