Role Description As Quantitative Analyst, you will drive the research process that underpins our prediction markets trading strategies. You will develop alpha signals, build and validate models, and work closely with our traders and engineers to take research from idea to live deployment. You will own projects end to end — from data ingestion and exploratory analysis through to implementation, testing, and performance monitoring. We operate across a broad event universe including professional sports, macroeconomics, geopolitics, climate, and financial markets. Research breadth and the ability to develop domain expertise quickly are assets here. Responsibilities - Conduct rigorous quantitative research to identify new alpha signals across prediction market categories — sports, macro, political, financial, and environmental events. - Own the end-to-end research process in close collaboration with the Portfolio Manager: data sourcing and ingestion, exploratory analysis, methodology design, implementation, backtesting, and live performance evaluation. - Build and maintain data pipelines drawing on alternative and traditional data sources — market microstructure, public resolution data, news and sentiment feeds, sports analytics databases, and fundamental datasets. - Develop and improve models for fair value estimation, calibration analysis, and systematic strategy construction. - Extend and improve MCP's internal research platform — tools, libraries, and workflows that make the whole team faster and more rigorous. - Maintain a systematic review of the academic and practitioner literature on prediction markets, sports analytics, Bayesian forecasting, and related fields. - Produce clear, structured research outputs — documented methodology, performance attribution, and actionable recommendations — that can be directly used by traders. Qualifications - Undergraduate or postgraduate degree from a strong institution in data science, computer science, mathematics, statistics, operations research, financial engineering, or a closely related quantitative field. - Strong Python skills: pandas, NumPy, scikit-learn, and experience building backtesting or research frameworks from scratch. - Solid foundation in statistics, probability, time-series analysis, and machine learning — with the ability to apply these rigorously rather than just use libraries. - Demonstrated interest in prediction markets — personal trading, research, protocol analysis, or equivalent engagement. We expect you to know these platforms well. - Ability to work independently and take full ownership of a research workstream, not just execute tasks handed to you. Bonus Points For - Two or more years of experience in a data-driven research environment with a focus on model development and forecasting — though we will consider exceptional candidates at earlier career stages. - Familiarity with Polymarket and/or Kalshi platform mechanics, resolution data, and API access. - Experience with NLP, sentiment analysis, or unstructured data processing applied to financial or event-driven contexts. - Comfort with agentic AI frameworks and LLM-based research tooling — MCP is actively investing in this area. - Knowledge of Bayesian methods and their application to probability calibration and forecast updating. - Experience with blockchain data or on-chain analytics tools relevant to decentralised prediction market platforms. Who Thrives Here The best Quantitative Analysts at MCP combine academic rigour with genuine curiosity — they read papers because they want to, follow market resolutions because they are interesting, and build things outside of work because they cannot help it. We value intellectual honesty, the ability to kill your own ideas when the data says so, and the drive to turn good research into production-quality work. This role is well suited to a researcher who wants to see their work actually trade. Every model you build has a clear path to live deployment, and you will have direct visibility into how your research performs in the market. How to Apply Send your CV and a cover letter that demonstrates your genuine engagement with prediction markets and quantitative research. We want to understand what you have built, what you have studied, and how you think about identifying and validating an edge. Include links to any relevant work: GitHub repositories, research write-ups, Kaggle or competition work, or personal projects. Applications reviewed on a rolling basis. Strong candidates will complete a technical exercise focused on real prediction market data, followed by a research discussion with the team. Compensation Base salary commensurate with experience, performance-linked bonus. We will discuss specifics with the right candidate.

• Develop, lead, and support analytics, reporting, and dashboard capabilities for the Field Service organization. • Unlock insights that support strategic decision making, performance management, operational visibility, and continuous improvement across Field Service. • Help establish and lead a team of analysts supporting Field Service operations. • Develop dashboards, define key performance indicators, analyze operational and customer data, and partner with Field Service leadership, IT Business Intelligence, Data Science, Infrastructure, and other business partners. • Establish, track, and maintain key Field Service performance metrics to provide visibility into operational performance, trends, risks, and improvement opportunities. • Build, maintain, and improve dashboards and reporting tools to support Field Service leadership, operational teams, and business stakeholders. • Partner closely with IT Business Intelligence, Data Science, Infrastructure, and other analytics teams to ensure data sources, reporting structures, and analytical tools are accurate, reliable, and aligned with business needs. • Analyze large datasets related to Field Service performance, customer behavior, marketplace dynamics, technician readiness, productivity, operational efficiency, and other business priorities.

Title: Data Analyst Location: Austin United States Job Description: About CharterUP. CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events. Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale. Why Join Us - Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change. - Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there's no better time to join our dynamic, growth-stage organization. - Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX. - Funding and Stability: Our $60 million Series A funding was just the start-we're poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability. Title: Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting    Location: Atlanta, GA. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Austin, TX or Denver, CO.    About the Role CharterUP is seeking an early career Data Analyst to join our Finance BI team, someone eager to tackle data challenges and assist in meeting the reporting and analytics needs of teams throughout the organization. This role's deliverables will have a high impact, with visibility to leadership. Responsibilities - Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports. - Perform data analysis to identify trends, patterns, and insights that will guide business strategy and decision-making. - Develop and maintain dashboards and reports to track key business metrics. - Collaborate with cross-functional teams to support data-driven projects and initiatives. - Conduct statistical analysis and model data to predict future trends and performance. - Present findings, recommendations, and insights in a clear and concise manner to non-technical stakeholders. Experience and Expertise - Bachelor's and Master's degrees.  Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering - 1+ years industry experience as Data Analyst - Proficiency in SQL, Python or equivalent - Proficiency in Excel/Google Sheets - Strong knowledge of data visualization tools like Tableau, Power BI, or similar platforms is a plus. - Familiarity with any of the following is a plus: Redshift or Snowflake, dbt, Fivetran, Salesforce and tools like 6sense. - Experience with data manipulation, cleaning, and transformation techniques. - Strong communication skills with the ability to present data insights to diverse audiences. - Ability to work independently and manage multiple tasks. Recruiting Process - Step 1 - Wonderlic Assessment - Step 2 - Video call: Talent Acquisition interview  - Step 3 - Video call: Interview with Head of BI - Finance - Step 4 - Video call: Team interview - Step 5 - Video call: Final Interview with CFO - Step 6 - Offer & Background check - Welcome aboard! Compensation - $70,000 - $75,000 base salary - Comprehensive benefits package, including fully subsidized medical benefits for the employee - 401(k) plan Salary $70,000—$75,000 USD Global Benefits & Perks at CharterUP We believe great people can live anywhere-and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team. - Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states. - Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards. - Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country. - Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available. - Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together. - Referral Rewards: Earn bonuses for bringing top talent to the team. - Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable. - Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running. CharterUP is an Equal Opportunity Employer. We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter. Hiring Locations: CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming. We hire in the U.S. and Canada and are actively expanding our global footprint.

Data Analyst Location: Alexandria United States Job Description: Job Title: Data Analyst (Temporary Assignment) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None The Opportunity: The Deputy Assistant Secretary of Defense - Science and Technology (DASD-S&T) Futures and Foundations Office are seeking a proactive, detail-oriented data analyst to support day-to-day operations. DASD-S&T is responsible for policy and operation of defense laboratories and engineering centers. As a member of the DASD-S&T team, you will be on the cutting edge of where policy, science, and data analytics meet. Note: This is a temporary position expected to run from August 14, 2026, through November 16, 2026, with the potential for extension based on organizational needs. Note: This role allows you to work remotely; however, the client requires that you live in the Washington, D.C. Metro Area. Responsibilities: You will conduct a variety of data analyses on the performance of laboratory personnel systems, STEM (Science, Technology, Engineering, and Mathematics) outreach programs, technology transfer, infrastructure, and federally funded research and development centers (FFRDCs) to gauge the effectiveness and deficiencies and inform policy decisions based on findings. Responsibilities include: - Responding to client requests or proactively identifying data needs. - Determining the most suitable data systems for acquiring required information. - Processing acquired data using big data platforms, Microsoft Excel, PowerBI, DataBricks or Tableau for accuracy and relevance. - Conduct quality assurance procedures, including cleaning, labeling, and grouping data appropriately. - Develop visual representations of data to convey meaningful insights as per initial requirements. - Utilize existing data and databases to fulfill requests, reducing reliance on field calls. - Offer suggestions for refining data collection methods, minimizing repetitive queries, and enhancing precision. Qualifications: Required: Note: This role allows you to work remotely; however, the client requires that you live in the Washington, D.C. Metro Area. --Bachelor's degree from an accredited college or university and a minimum of five (5) years of recent and relevant experience in the following: - Data Engineering - Statistics or Data Analytics - Program Management - Knowledge of DoD data systems - Excellent written and oral communication skills --Active DoD TS/SCI clearance Desired: - Experience working in DoD RDTE enterprise. - Knowledge of SQL, Python, or R. - Knowledge or experience with Qlik, Databricks, Tableau, or other analytical platforms. - Experience utilizing DoD financial and contracting systems. - Understanding of the PPBE system and processes. - Knowledge of DoD FFRDC program management. Additional Details: This is a temporary position expected to run from August 14, 2026, through November 16, 2026, with the potential for extension based on organizational needs. #LI-TF1 - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $75,200-$158,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.