Strategist (Part-Time to Full-Time, Remote, Equity-Based)

Location: Remote (US-based applicants only)

Type: Part-Time (20-25 hours/week), transitioning to Full-Time

Compensation: Equity-based for first 6 months, with potential for salaried role

    • Sweat Equity Explanation Video: https://youtu.be/iL-NaBiAQis

    • Start Date: Immediate/ASAP.

    About Alpha Hub

    Alpha Hub, a subsidiary of Konzortia Capital, is redefining private capital markets with AI, blockchain, and a data-driven platform for deal-making, investor due diligence, and secondary trading. As we prepare for our 2025 platform launch, we are building a high-performance team to drive innovation in financial modeling and analytics. Join us to shape the future of fintech.

    Learn More About Alpha Hub:

    • Our Lead Investor: https://docsend.com/view/uca7xddn8mm65nii
    • Company Growth & Vision: https://docsend.com/view/jn2rini6xkepacc2
    • Alpha Hub Update Video (Loom): https://www.loom.com/share/51c4835f05ea4b14a0767e0dc4799a28?sid=360be5c2-0019-4bab-9339-b0ded3239b5d
    • Sweat Equity Explanation Video: https://youtu.be/iL-NaBiAQis

    The Role

    We are seeking a skilled Quantitative Investment Strategist / Financial Data Scientist to refine our VC Scoring, Predictive Market Sentiment Index (PMSI), and other proprietary scoring frameworks. You will audit and enhance our mathematical models, develop standardized evaluation frameworks, and collaborate with product and engineering teams to integrate these models into our platform. This remote role is ideal for a quantitative finance expert passionate about private markets, with a path to a full-time position.

    Responsibilities

    • Audit and refine scoring models (e.g., VC Scoring, PMSI) using econometrics, statistics, and predictive modeling.
    • Define weightings, factor structures, and mathematical integrity for risk scoring algorithms.
    • Develop standardized evaluation frameworks for venture capital, private equity, and M&A deals.
    • Translate financial logic into engineering-ready formulas for our Alpha-IQ assistant.
    • Collaborate with product, AI/ML, and engineering teams to map models to UI/UX (e.g., dashboards, marketplace cards).
    • Support development of predictive dashboards and alerts for investor decision-making.
    • Conduct research on macroeconomic indicators, behavioral finance, and due diligence frameworks.

    Qualifications

    • Master’s or Ph.D. in Quantitative Finance, Applied Mathematics, Financial Engineering, Economics, or related field.
    • Strong expertise in econometrics, statistics, and predictive modeling (e.g., LASSO regression, PCA).
    • Experience in venture capital, private equity, investment banking, or fintech.
    • Proficiency in Python, R, SQL, or Jupyter Notebooks for data analysis and modeling.
    • Ability to work independently in a fast-paced, remote environment.
    • Familiarity with AI/ML for financial forecasting or sentiment analysis is a plus.
    • CFA or CAIA certification is preferred but not required.
    • Prior roles at fintechs, VC/PE firms, quant hedge funds, or economic research teams are a strong plus.

    Why Join Us

    • Impact: Shape cutting-edge scoring models for a transformative fintech platform.
    • Growth: Gain deep experience in private capital markets and quantitative finance.
    • Flexibility: Work remotely with a collaborative, innovative team.
    • Opportunity: Equity-based role with potential for a salaried, full-time position based on performance and company milestones.

    Compensation

    • First 6 Months: Equity-based compensation (part-time, 20-25 hours/week).
    • Post-6 Months: Potential transition to a salaried, full-time role within our U.S. entity, contingent on performance and fundraising success.
    • Sweat Equity Explanation Video: https://youtu.be/iL-NaBiAQis

    How to Apply

    To apply, submit your resume and a brief cover letter via LinkedIn, explaining your interest in Alpha Hub and this role. Applications are reviewed on a rolling basis.

    Alpha Hub is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.