• work closely with nybl to identify issues and use data to propose solutions for effective decision making • build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation • use machine learning tools and statistical techniques to produce solutions to problems • test data mining models to select the most appropriate ones for use on a project • maintain clear and coherent communication, both verbal and written, to understand data needs and report results • create clear reports that tell compelling stories about how customers or clients work with the business • assess the effectiveness of data sources and data-gathering techniques and improve data collection methods • horizon scan to stay up to date with the latest technology, techniques and methods • conduct research from which you'll develop prototypes and proof of concepts • stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Manage, coach, and develop the team by setting clear goals, supporting career growth, and maintaining high standards of quality • Own team execution through intake and prioritization, roadmap planning, stakeholder communication, and reliable delivery of insights and analyses • Establish best practices for analytics delivery (e.g.: documentation, QA, reproducibility, peer review, and governance) • Partner with leaders and teams across functions such as Marketing, Merchandising, Fulfillment Operations, Customer Service, and Human Resources to define the right questions, metrics, and measurement approaches • Translate ambiguous business questions into structured analysis, decision-ready recommendations, and success metrics to track impact post-launch • Standardize governed KPI definitions and create a proactive culture of controlled measurement and accountability • Lead selection and implementation of a cross-functional BI tool including requirements gathering, evaluation, proof-of-concepts, and cost/value analysis • Define governance for the BI ecosystem (e.g.: shared metrics definitions and documentation standards) • Drive adoption through enablement such as training, templates, office hours, and continuous improvement based on feedback • Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling, reliable pipelines, and clean source-of-truth datasets • Bring fluency in GCP-based analytics environments (e.g.: BigQuery and related tooling) to guide scalable analytics design and best practices • Advocate for data quality and reliability through monitoring, lineage, documentation/cataloging, and consistent definitions across domains • Operate effectively in a centralized team model today while identifying opportunities to improve responsiveness and impact • Propose and help implement future-state approaches (e.g.: embedded analysts for key functions, hub-and-spoke, hybrid support, etc.) as the company scales

Quantitative Analyst Department: Trading Employment Type: Full Time Location: Chicago, IL Description Wolverine Asset Management is seeking highly motivated and intellectually curious individuals to join our team as Quantitative Analysts. In this role, you will collaborate closely with our relative value arbitrage strategy portfolio management teams. Analysts at Wolverine play a critical role in developing, enhancing, and supporting the systems, models, and research that drive our investment decisions. This is an exciting opportunity to contribute to a fast-paced, performance-driven environment with strong potential for growth and impact. What You'll Do - Partner with portfolio managers to analyze, develop, and improve trading strategies and models. - Conduct research and data analysis to support investment decisions across multiple asset classes. - Verify, normalize, and maintain large and complex data sets. - Build, maintain, and enhance tools, processes, and systems critical to daily desk operations. - Assist in the development of new strategies through data mining, statistical analysis, and problem solving. - Continuously explore ways to optimize performance, streamline processes, and identify new opportunities. What We're Looking For - Bachelor's degree (or higher) in Mathematics, Statistics, Physics, Computer Science, Engineering, Finance, Economics, or a related quantitative field. - Strong foundation in probability, statistics, and quantitative problem solving. - Programming experience is a plus. - Prior experience in a data-driven research environment. - Familiarity with corporate finance, securities trading, or financial markets preferred. - Excellent communication skills and ability to work effectively in a team environment. - Competitive mindset Why Join Us Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges. Benefits: - Highly competitive salary & bonus opportunity - Generous paid time off and flexible scheduling - 100% coverage of medical, dental, vision, life, and disability benefits for single coverage - Generous Paid Parental Leave - Retirement Plans: 401K and Roth 401K - Profit sharing plan - Long- and short-term disability Additional Perks: - Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!) - On-site gym with a subsidized membership - Frequent company outings - Opportunity to give back to organizations that help individuals in need in the Chicagoland area Professional Development: - In-house education team - classes and resources are offered for continuous learning opportunities - Mentorship Program through your first six months of employment The base compensation range for this role is approximately $70,000-$110,000 contingent on experience. Wolverine Asset Management's total compensation model includes base salary and an annual discretionary bonus.

Quantitative Trader - High Frequency Futures Department: Trading Employment Type: Full Time Location: Chicago, IL Description We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm. What You'll Do - Conduct financial data analysis on large datasets to generate profitable trading alphas. - Define key metrics for model validation - Back-testing and production performance monitoring - Contribute to in-house data analysis packages and research framework development - Acquisition of new data sets and cleaning/maintenance of new and existing data sets. - Contribute to futures trading technology stack architecture What We're Looking For - At least 2+ years of experience generating or implementing short term trading alphas into production trading strategies - Knowledge of CME and related market microstructure required. - Advanced knowledge of modern statistical and machine learning techniques - Proficiency in a scripting language such as Python, R, or MATLAB. - Proficiency in at least one statistical package and one machine learning package in one of the above languages. - Demonstrated experience working with tick data. - Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc. - Experience developing software systems in an object-oriented language is a plus. Why Join Us Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges. Benefits: - Highly competitive salary & bonus opportunity - Generous paid time off and flexible scheduling - 100% coverage of medical, dental, vision, life, and disability benefits for single coverage - Generous Paid Parental Leave - Retirement Plans: 401K and Roth 401K - Profit sharing plan - Long- and short-term disability Additional Perks: - Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!) - On-site gym with a subsidized membership - Frequent company outings - Opportunity to give back to organizations that help individuals in need in the Chicagoland area Professional Development: - In-house education team - classes and resources are offered for continuous learning opportunities - Mentorship Program through your first six months of employment The base compensation range for this role is approximately $150,000-$200,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.