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Burford Capital is the leading global finance and asset management firm focused on law. Its businesses include litigation finance and risk management, asset recovery and a wide range of legal finance and advisory activities. Burford is publicly traded on the New York Stock Exchange (NYSE: BUR) and the London Stock Exchange (LSE: BUR), and it works with companies and law firms around the world from its principal offices in New York, London, Chicago, Washington, Singapore, Sydney, Hong Kong and Dubai.
The Firm is seeking a Data Analyst Spring Intern to join the Strategy and Quantitative Analytics team. The Data Analyst Spring Intern will be involved in a wide variety of areas within the Strategy and Quantitative Analytics team, with a particular focus on data analysis and the operation of Burford Capital’s proprietary investment modelling software.
The role will report to a Data Analyst in London and be based in Burford’s London office.
www.burfordcapital.com
COMPANY OVERVIEW
Burford Capital is the largest and most experienced provider of commercial finance to the legal sector in the world, with a core expertise in identifying and optimizing the value of legal assets for companies and law firms. Since its founding in 2009, Burford has worked with hundreds of law firms and corporations, including 93 of the AmLaw 100 and 90 of the Global 100 largest law firms. Our team has grown from five people at the end of 2009 to over 140 people today, including over 65 lawyers.
Burford possesses the resources and expertise of a large company while retaining the flexibility and creativity of a startup. Team members are smart, creative, collaborative, curious, and confident. Everyone rolls up their sleeves to perform and engage collectively for the overall success of the business. Burford values rigorous thinking, clear communication, and efficient execution.
Burford Capital is committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, whether or not they have a disability.
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POSITION DESCRIPTION
Responsibilities
The Strategy and Quantitative Analytics team at Burford Capital is seeking a Spring Intern to assist with data analysis, the operation of Burford’s proprietary investment modeling software, and various finance-related projects. Responsibilities will include:
• Support the Data Analysts in the development and operation of Burford’s proprietary investment modelling software.
• Analyse existing investment models to evaluate pricing structures and underlying assumptions.
• Identify areas of development for the modelling systems and communicate them to the Strategy and Quantitative Analytics team.
• Develop new modelling features by specifying functional requirements and preparing operation examples.
Professional Development
The Spring Intern will benefit from the following opportunities:
• Hands-on training in general finance and litigation finance, gaining a strong foundation in key concepts and practices.
• Personalized mentorship and exposure to advanced financial modeling techniques.
• Opportunities to contribute meaningfully to impactful projects within the Strategy and Quantitative Analytics team.
• The potential to transition to a full-time Data Analyst Summer Internship program upon successful completion of the Spring internship.
SKILLS DESIRED
Qualifications & Experience
• Candidate should have an outstanding academic record.
• Candidate should be currently pursing or have recently completed a bachelor’s or master’s degree in finance, economics, or a STEM field.
Core Competencies & Skills
• Candidates must be detail-oriented and have strong organizational, analytical, and problem-solving skills.
• A collaborative working style that enables them to interact with team members at all levels of the company.
• High energy, self-starter with an ability to comprehend and quickly learn new concepts.
• A high proficiency in Excel is required. Understanding of SQL and Python desirable.
• Excellent written and verbal communication skills required.
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