Oliver Wyman - Analyst – Data and Analytics Team - Toronto

Company:

Oliver Wyman

Description:

Job title: Analyst – Data and Analytics (DNA)

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating globally. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.

We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are proud of the values we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.

What You Will Do
As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients.

Notable projects include:

• Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information
• Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks
• Optimizing and developing a promotional program using data from historical promotions for a health & beauty chain by deploying a promotion analytics toolkit
• Validating a customer-facing GenAI chatbot for an American bank
• Developing probability of default and loss models in Python for European and UK-based banks
• Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information
• Developing a next best action model to reduce customer churn for a global telecom company
• Performing commercial due diligence on a AI maritime collision detection software system and the impacts of future regulatory changes
• Implementing AI to remediate billing discrepancies for a portfolio company
• Assessing the AI readiness of companies on behalf of a UK Private Equity firm
• Restructuring the pricing proposition of a financial services firm as part of a value creation plan

Why Join Us?
Expect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavour.

You won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life.

This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?

• Bachelor's, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, Engineering, etc.)
• Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues
• Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies
• Strong commitment to teamwork and resilience in a creative and constantly changing environment
• Excellent command of the English language (verbal and written)
• Interest and experience in private equity and private markets is a plus

There are a few specific eligibility requirements: 

• Oliver Wyman does not offer sponsorship for this position. Please note that CPT and OPT are restricted forms of work authorization. 

• Undergraduate student (Class of 2027) completing a four-year degree 

• Due to the nature of our work, an offer of employment requires valid authorization or the ability to obtain valid authorization to work in both Canada and the United States. 

How to Apply?
Please submit your CV and transcripts. If you would like to find out more information about Oliver Wyman, please visit our website .​  

Oliver Wyman may use artificial intelligence tools to assist in screening, assessing, or selecting applicants for this position. 

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. 

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.