• Demonstrating and applying content knowledge and methodological expertise to study design decisions, project activities, and reporting. • Contributing to or supervising collection and management of data for projects; · Leading or contributing to designs for rigorous experimental, quasi-experimental, and descriptive studies. • Leading or contributing to quantitative analysis and write-up of research technical reports, briefs and other project deliverables. • Carrying out task management activities, including supervising junior staff, communicating with senior managers, and communicating with clients as appropriate. • Engaging in business development activities, including cultivating relationships with existing and potential new clients, capture planning, managing or writing proposals. • Supporting collaboration among team members, both internal and external to the organization. • Contributing to dissemination activities, including presentations, journal manuscripts, issue briefs, data dashboards, infographics and other products for a variety of audiences. • Mentoring staff, share approaches to solving concrete study design and analytic problems, and provide feedback on the work of others.

• Design, research, and backtest novel quantitative trading strategies for various asset classes in low-to-high frequency contexts • Develop and maintain robust alpha models, risk models, and execution algorithms • Analyze large, complex financial and market data sets to identify predictive signals and market inefficiencies • Evaluate DEFI protocols by recreating their underlying models to assess performance, risks, hedging strategies and potential for portfolio integration • Collaborate with the technology team to ensure seamless and efficient deployment of strategies into the production trading system • Monitor performance of live strategies, conduct attribution analysis, and propose improvements or adjustments • Stay abreast of academic literature, industry trends, and new technologies in quantitative finance and crypto

• Maintain a high standard of accuracy and consistency across all proprietary trading firm data and public-facing platform content. • Identify and correct outdated, missing, or inconsistent firm information. • Track updates across futures prop firms and reflect changes in systems. • Conduct regular audits of firm profiles and structured research data. • Deliver ongoing research across futures prop trading firms and maintain structured, high-quality insights. • Research and profile futures prop trading firms globally. • Track industry changes, firm updates, and new market entrants. • Translate futures market and prop firm developments into structured, actionable insights for traders and internal stakeholders. • Monitor futures market developments (macro + micro drivers affecting trader behavior). • Collaborate across teams to improve research and content quality.

• Brand Intelligence & Mapping: Create comprehensive research maps for target brands, identifying key decision-makers, recent organizational shifts, and strategic priorities. • Financial & Regulatory Research: Analyze SEC Filings (and other public disclosures) to identify brand pain points, budget cycles, and growth initiatives. • AI-Driven Prospecting: Utilize ChatGPT and advanced AI prompts to summarize brand reports and draft highly personalized outreach scripts. • Outreach & Scheduling: Coordinate with the outreach team to reach out to brands via LinkedIn and email, managing the transition from researched lead to scheduled meeting. • Technical Stack Management: Leverage Zoom for coordination and maintain high data hygiene within the CRM (e.g., Salesforce or HubSpot) to track brand engagement