What you will be doing?

• Investigate new trends and business areas, working across a wide variety of industries on a range of topics that are important to the global investment community
• Develop and use knowledge of technology to design innovative approaches to solve data-related challenges
• Create summaries, data visualizations, written analyses, and other presentations of work performed
• Manage time and tasks to meet deadlines for stakeholders in time-sensitive projects
• Participate in internal and external meetings to review results of work performed
• Deliver on day-to-day activities of a project including interaction with other team members and stakeholders
• Transform large structured and unstructured data sets into actionable insights
• Assist in the identification and evaluation of data sources and vendors
• Create new data assets including those sourced through web scraping
• Participate in brainstorming meetings to design, execute, and deliver novel solutions for investment debates
• Partner with researchers to deliver analytical solutions to support investment decision making

Qualifications

• 2 to 4 years of experience in a Data oriented role preferably in sectors like Investments, Banking & Financial Services
• Experience using alternative data to analyze the sectors like ESG, Healthcare, Pharmaceutical, Renewable Energy, Social Responsibility, Biotech, and/or Life Sciences sectors is a plus
• Experience incl. working with large datasets (e.g. in equity or quantitative research, academia, risk or operations, consultancy) is preferred
• Bachelor’s degree from an accredited college / university; thesis or experience working in a research environment preferred
• Intellectually curious with strong analytic, quantitative, and critical reasoning skills

Skills required include

• Ability to communicate and align priorities across multiple teams with inspiration and authority
• Database experience (SQL, DDL/DML, performance tuning, data modeling).
• Understanding of UNIX/LINUX environments.
• Ability to work efficiently in a fast-paced environment on multiple concurrent projects
• Solid experience doing technical business analysis
• Technical background including working knowledge of at least one of the programming languages SQL, Python, and R
• Familiarity with git, data visualization tools, and web scraping technologies a plus
• Knowledge of Pyspark, Databricks, Airflow, and other leading big data analysis tools a plus

Other personal characteristics

• Unquestioned integrity and the highest ethical standards
• Ability to provide feedback to others in a constructive, assistive way
• Not afraid of failure and demonstrated ability to operate with vague or light client feedback
• Perform diverse and complex tasks with accuracy and a desire to coach others on the same
• Communicate effectively both verbally and in writing, particularly with global colleagues.
• A built-in drive to achieve outstanding results under tight timelines

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