Salary :
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We are looking for a Portfolio Manager to manage the full lifecycle for our public equities fund. This is a senior investment role with full P&L ownership, requiring deep fundamental analysis capabilities, conviction-driven capital allocation, and hands-on execution. The ideal candidate is a buy-side professional who thrives on underwriting equity positions from the ground up and managing risk through the full investment lifecycle.
The Portfolio Manager will be responsible for analysis, capital allocation and execution along strategic principles, ensuring strong fund performance. As a Portfolio Manager, you will collaborate with the Research, Trading and Operations teams on portfolio optimization frameworks and operational and trading execution best practices.
What you’ll do:
- Drive P&L performance for the Equity strategies on a risk-adjusted return basis
- Own portfolio risk management including position sizing, gross/net exposure, and drawdown budgets within defined risk parameters
- Execute trades with precision and accuracy, demonstrating a commitment to staying tuned in and responsive to market changes
- Build on the existing strategy and track record from across the platform
- Develop, write up, recommend and select ideas within the strategy
- Manage trade execution across venues and products
- Portfolio risk monitoring
- Actively track markets to identify market dislocations and relative value opportunities
- Assist with investor relations activity during the monthly reporting cycle and capital formation activities
Our ideal candidate:
- 8+ years of buy-side investment experience at an Investment Manager, crypto firm, Investment Bank, Hedge Fund, or similar, with direct experience managing capital and generating alpha
- Comfort with both the institutional rigor of a fundamental bottom-up equity analysis, an appreciation for market technicals, as well as the flexibility to consider the potential upside of blockchain and other frontier technologies.
- A passion for investing and a love for the dynamic nature of the financial markets.
- Self-directed investor comfortable owning the full investment lifecycle: idea generation, fundamental analysis, position entry, ongoing monitoring, and exit
- Demonstrable, auditable track record of P&L generation across market cycles; ability to articulate investment process and attribution
- Willingness to work in a team and within a risk mandate structure
- Advanced Excel skills with experience utilizing dynamic parameters, flexible modeling, sensitivity analysis, and data aggregation & analysis
- Strong analytical and problem-solving skills
- Outstanding presentation, reporting, and communication skills
- Excellent understanding of industry trends and best practices
- Ability to execute under pressure and within tight timelines while juggling multiple objectives
- Detail-orientated and delivery-focused approach
- Robust people skills, with a focus on collaboration and the ability to work effectively as part of a team
- Bachelor’s Degree or equivalent experience
- Previous experience trading digital assets is highly desirable
- Experience with derivatives and DeFi preferred
- Comfort with scripting languages or other development experience with a data science/statistical analysis background is a plus
$200,000 - $250,000 a year
Compensation:
A well-qualified candidate, based in New York City, can expect a base salary of $200,000.00 - $250,000.00 plus participation in the fund’s carried interest pool. A standard offer from Hivemind Capital includes base compensation, incentive-based compensation such as discretionary bonuses or upside, and a highly competitive benefits and perks package. Offers are determined by a number of factors including (but not limited to) the applicant's experience, skills, certifications, as well as internal equity among our team.
About us:
Hivemind Capital Partners is a Web3 and blockchain technology focused investment firm. Committed to institutionalizing digital asset investing, Hivemind combines crypto-native technology and expertise with institutional-grade risk management and practices. With a thesis-driven and multi-strategy approach, Hivemind unlocks the potential of digital assets to be an investable asset class by providing curated and scalable access to institutional
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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