Role Description We are seeking curious, passionate, and hard-working students from quantitative academic fields to participate in our fully remote summer internship program. The program will be highly collaborative and immersive, with interns working on real business problems that can span multiple business units within the complex insurance landscape. But it won’t be all work! Mercury executives will host virtual lunch-and-learns with a small group of interns to discuss career aspirations, interns will get to meet Mercury people leaders and team members throughout the organization, and there will be a multitude of virtual social events. Responsibilities - Utilizes analytical tools (e.g., Python, R, SQL, SAS or equivalent) to extract, prepare, and analyze structured and unstructured data in support of climate and catastrophe risk research. - Assists with exploratory and predictive modeling projects (e.g., hazard, exposure, vulnerability, mitigation) under supervision; helps evaluate model performance, segmentation, and loss impacts. - Performs targeted literature and data research on external sources (e.g., academic studies, industry consortia, public datasets) and summarizes findings relevant to Mercury’s climate and catastrophe modeling roadmap. - Helps connect external research and datasets to Mercury’s internal modeling framework by documenting data structures, use cases, and potential integration opportunities. - Prepares clear reports, visualizations, and presentations to communicate methods, findings, and recommendations to technical and non-technical stakeholders. Over the course of the summer, the intern will contribute to a minimum viable product (MVP)—such as a prototype analysis, tool, dataset, or research framework—and will have a capstone opportunity to present their work to the Mercury leadership team. Other functions may be assigned. Qualifications - Be legally eligible to work in the U.S. - Currently pursuing a BS/BA/MS in a quantitative field (Statistics, Mathematics, Data Science, Engineering, Actuarial Science, Environmental Science, Economics/Finance). - Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher preferred. - Ability to work 40 hours a week, 12-week internship, that aligns with Mercury’s internship program. - Enrolled student attending a university program with an expected graduation date that falls within Mercury’s expected hiring window. - Planning to seek full-time employment between December 2026 and September 2027. Experience - Solid track record of academic excellence. - Strong commitment to teamwork, learning and collaboration. - Academic or project experience in data manipulation and analysis using tools such as Python, R, SQL, SAS or equivalent. - Familiarity with modeling concepts such as GLMs, logistic regression, and gradient boosting algorithms. - Insurance coursework/projects; exposure to pricing/research workflows. Knowledge and Skills - Excellent verbal and written communication. - Ability to manipulate and analyze data to address and solve business problems. - Willingness to independently learn and make an impact within a team environment. - Working knowledge of SQL and one language (Python or R); clear communication. - SAS familiarity, dashboarding tools (Power BI/Tableau), basic model validation techniques. - Proficient in Microsoft Office Suite. Benefits - Obtain practical work experience in your field of interest. - Network with other interns and industry professionals. - Receive personalized coaching and mentorship. - Work on real projects and initiatives. - Earn a competitive wage. Pay Range USD $30.00 - USD $30.00 /Hr.

Overview Shape the future of research at Atlassian: Lead high-impact operations, scale AI-enabled systems and drive strategic communications that amplify insights and influence decisions. Your Team You’ll join Atlassian’s Research Operations team and play a pivotal role in scaling operational systems that empower researchers and Atlassians to deliver faster and more impactful insights. As a senior member, you will drive high-priority strategic projects to increase the influence of customer research in business decision making. Reporting to the Business Portfolio and Research Operations Manager, you will collaborate closely with peers in Research Operations and with cross-functional partners across Design, Product, Engineering and governance functions including Privacy, Legal, Procurement and Finance. Our team thrives on curiosity, experimentation and continuous learning. We are distributed-first, inclusive by design and committed to operational craft excellence as the foundation for research impact. Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities What You Will Do - Lead strategic research operations initiatives: Own and drive end-to-end delivery of programs that accelerate speed to insight and scale AI-powered research practices. - Advance participant operations: Shape governance, automation and best practices for participant panel management, ensuring compliance, ethical use and efficiency. - Evolve the AI-led research tech ecosystem: Lead evaluation, integration and optimisation of modular tools and agents, including budget management, vendor relationships and AI-driven automation. - Drive research enablement at scale: Design and deliver programs such as toolkits, automated agents, training and office hours that uplift research maturity and empower non-researchers to confidently engage in customer connection. - Amplify insight communication: Partner with research leadership to design and deliver strategic communications including monthly synthesis, blogs and points of view that extend the reach of insights and influence product direction. - Mentor and coach peers: Guide and support colleagues in operational practices, AI literacy and effective communication, fostering growth and continuous improvement across the team. - Standardise, automate and scale operations: Establish scalable systems and practices that reduce duplication, improve quality and drive operational consistency. - Measure and communicate impact: Define and track key metrics that demonstrate operational effectiveness, efficiency and influence, and translate results into clear, persuasive narratives for stakeholders. - Champion safe and ethical practice: Ensure that research operations align with legal, ethical and compliance standards, shaping policies and frameworks that build trust. Qualifications Your Background Research Operations and Technical Expertise - 5+ years of hands-on experience in research operations within complex or enterprise software environments. - Advanced expertise in participant recruitment, vendor and budget management, knowledge management and research tooling. - Proven experience leading the integration of AI-enabled tools and automation to improve efficiency, quality and scalability. Influence, Communication and Leadership - Exceptional ability to translate operational outcomes into compelling narratives tailored for diverse audiences, including senior leadership. - Proven track record of influencing cross-functional teams and aligning stakeholders around insights and operational priorities. - Demonstrated experience mentoring and coaching peers, fostering growth and advancing craft excellence. Business and Collaboration Skills - Strong strategic business acumen, able to link operational initiatives to business goals, product strategies and organisational priorities linked to data-informed decisions. - Skilled in managing complex stakeholder relationships across disciplines and functions. Mindset and Growth - Thrives in ambiguity, proactively shaping direction and adding value. - Growth-oriented, continuously learning and driving innovation in research operations. - Deep curiosity about the role of AI in transforming research practices and business outcomes. Nice to have, but not essential - SQL or data analysis experience, for example writing simple queries, cleaning and joining datasets, and building lightweight reports in Google Sheets or Tableau to track cycle time, show rate and cost per recruit. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $145,800 - $190,350 Zone B: $131,400 - $171,550 Zone C: $121,500 - $158,625 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

• Analysts are placed within a sector team • Pitching a stock each month for the fund to consider investing in • Supporting each pitch with rigorous and detailed valuations

• Through research and monthly stock pitches, ODT Capital provides both education and exposure to financial markets and investment strategies. • Support the work of the Vice-President and should be comfortable leading the team and organising meetings.