About the firm
Tower Peak Partners is a private markets investment firm, formally launched in 2024. The firm is headquartered in London, United Kingdom and currently has offices in New York, Panama City and Rio de Janeiro. The firm has gathered a collective of highly-skilled and recognizable investment professionals from around the world. The firm counts 20 team members of which 11 are investment professionals.
The activities of the firm are oriented towards delivering differentiated and high-impact value investment returns for institutional investors by focusing on the markets that present deep structural changes. The firm believes in the core missions of addressing climate and social changes and it reflects this thinking in the way it invests.
The firm delivers investment strategies and funds around the globe and across a range of private market asset classes globally, such as private equity, infrastructure, natural capital and intellectual property investments. The investment team have an average of 24 years of investment experience and have historically deployed more than $50bn of investment capital over the last 25 years in more than 30 jurisdictions around the globe.
The Postgraduate Data Analysis Internship is an on and off-cycle internship, with flexible working arrangements. The role will focus on helping the firm build its data infrastructure and helping design, build and deliver a cloud-based working data environment across a range of use cases.
Responsibilities
- Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements
- Develop and maintain innovative Azure solutions
- Solution design using Microsoft Azure services and other tools
- The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
- Build data pipelines to collectively bring together data
- Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
Essential Skills & Characteristics
- Python
- SQL and NoSQL databases
- Experience with Azure: Databricks, Power BI, ADLS, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
Experience & Qualifications
- Postgraduate degree, PhD or Masters-level degree in a relevant subject that relates to working with financial and ESG data
- Experience in designing, and building cloud-based, scallable data infrastructure using an Azure stack, is strongly preferred
- Previous experience as a Data Engineer, Data Scientist, Statistician or similar role would be viewed favorably.
- Experience building and optimising ‘big data' data pipelines, architectures, and data sets
- Strong analytic skills related to working with unstructured datasets
- The ability to design, anotate and implement well written code
- Ability to work to tight deadlines
- Ability to test the data from source to the presentation layer
- Ability to support/troubleshoot data pipelines
- Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams
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