Associate, Analytics and Data Strategy

About the Role

As a member of Secretariat’s expanding disputes practice, you will apply exceptional analytical and quantitative skills to complex damages, accounting, economics, and technology matters. This role involves manipulating large, disparate datasets and collaborating with Secretariat experts and other professionals to deliver bespoke solutions for clients on high-stakes legal and regulatory matters.

Key Responsibilities

• Assist with obtaining and loading relevant data into an analytics platform for analysis.
• Perform checks to ensure data veracity.
• Assist with the quantification of damages and exposure amounts.
• Assist with funds tracing across accounts.
• Assist with other analyses involving historical financial, operational, and transactional data.
• Perform thorough quality control measures to ensure accuracy.
• Report findings to project team members.
• Assist in the preparation of client-ready deliverables.

Requirements & Tech Stack

• SQL, Python, R and/or other programming languages to manipulate data stored in relational databases.

Qualifications

• Bachelor’s degree in Data Analytics/Data Science, Computer Science, Management Information Systems, Accounting, Finance, Economics, or similar, from an accredited university or college.
• Demonstration of leadership and initiative in academic, professional, or extracurricular settings.
• Analytics and problem-solving skills.
• Attention to detail, critical thinking skills and commitment to quality.
• Strong written/verbal communication skills and interpersonal awareness.
• Ability to distill and communicate complex analytical methods and results into facts and insights for clients, counsel, and experts.
• Ability to quickly assimilate relevant information in unfamiliar situations and develop creative approaches and solutions for complex problems.
• Ability to manage and prioritize time, potentially against competing deadlines.
• Must be eligible to work in the US without the need for sponsorship at any time in the future.