ML Tech
Strategy & Operations Expert | Digital Assets, FinTech & TradFi
We are seeking an entrepreneurial Quantitative Portfolio Manager to join ML Tech and build the next generation of cross-strategy, data-driven investment products within our marketplace. This role sits at the intersection of quantitative research, portfolio management, and product innovation, with direct profit-sharing incentives tied to your portfolio’s performance. You will design and manage multi-strategy portfolios that allocate capital across a curated set of verified trading teams on the ML Tech platform. The goal is to create alpha for institutional investors by identifying synergies between strategies, optimizing risk-return profiles, and building scalable, data-backed investment products.
You’ll operate as your own fund manager and quant strategist, leveraging access to live trading infrastructure, standardized strategy data, and a robust allocation platform.
Responsibilities
Portfolio Construction & Optimization: Design and manage portfolios that combine multiple trading strategies while balancing risk, liquidity, and performance objectives.
Quantitative Research: Analyze strategy metrics, risk factors, and correlations to identify profitable combinations and portfolio synergies.
Innovation & Product Design: Create new investment products or portfolio models that address allocator needs and risk constraints.
Allocator Collaboration: Work with institutional investors to understand their mandates, risk tolerance, and objectives; tailor portfolio allocations accordingly.
Team Interaction: Engage with trading teams to understand their strategies, performance drivers, and potential fit within broader portfolios.
Performance Monitoring: Continuously track performance, risk metrics, and exposure to ensure adherence to mandate and optimize returns.
Reporting & Insights: Present findings and portfolio updates to internal stakeholders and allocators, communicating complex results clearly and persuasively.
Qualifications
5+ years of experience in quantitative research, portfolio management, or multi-strategy fund management (crypto, macro, or traditional finance).
Strong understanding of quantitative methods, risk modeling, and portfolio optimization.
Experience with systematic trading strategies (momentum, arbitrage, market making, etc.).
Proficiency in Python and familiarity with data analysis tools and trading APIs.
Strong business sense and ability to translate data insights into investment decisions.
Excellent communication skills: comfortable interfacing with allocators and trading teams.
Entrepreneurial mindset: self-driven, opportunity-seeking, and motivated by performance-based rewards.
What’s in it for you
Capital to Manage: Start with access to an initial $20M portfolio, with potential for significant growth as performance scales.
Performance-Driven Compensation: Attractive PnL-based profit-sharing model, your success directly drives your rewards.
Unique Data & Infrastructure Access: Leverage ML Tech’s platform with its verified strategies, trading infrastructure, and comprehensive performance data.
Autonomy & Impact: Build and run your own portfolio within a next-generation institutional investment platform.
Growth Opportunity: Be part of a fast-growing company redefining how capital connects with quant talent in digital assets.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Finance and Sales
Equal Opportunity: ML Tech is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.
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You’ll operate as your own fund manager and quant strategist, leveraging access to live trading infrastructure, standardized strategy data, and a robust allocation platform.
Responsibilities
Portfolio Construction & Optimization: Design and manage portfolios that combine multiple trading strategies while balancing risk, liquidity, and performance objectives.
Quantitative Research: Analyze strategy metrics, risk factors, and correlations to identify profitable combinations and portfolio synergies.
Innovation & Product Design: Create new investment products or portfolio models that address allocator needs and risk constraints.
Allocator Collaboration: Work with institutional investors to understand their mandates, risk tolerance, and objectives; tailor portfolio allocations accordingly.
Team Interaction: Engage with trading teams to understand their strategies, performance drivers, and potential fit within broader portfolios.
Performance Monitoring: Continuously track performance, risk metrics, and exposure to ensure adherence to mandate and optimize returns.
Reporting & Insights: Present findings and portfolio updates to internal stakeholders and allocators, communicating complex results clearly and persuasively.
Qualifications
5+ years of experience in quantitative research, portfolio management, or multi-strategy fund management (crypto, macro, or traditional finance).
Strong understanding of quantitative methods, risk modeling, and portfolio optimization.
Experience with systematic trading strategies (momentum, arbitrage, market making, etc.).
Proficiency in Python and familiarity with data analysis tools and trading APIs.
Strong business sense and ability to translate data insights into investment decisions.
Excellent communication skills: comfortable interfacing with allocators and trading teams.
Entrepreneurial mindset: self-driven, opportunity-seeking, and motivated by performance-based rewards.
What’s in it for you
Capital to Manage: Start with access to an initial $20M portfolio, with potential for significant growth as performance scales.
Performance-Driven Compensation: Attractive PnL-based profit-sharing model, your success directly drives your rewards.
Unique Data & Infrastructure Access: Leverage ML Tech’s platform with its verified strategies, trading infrastructure, and comprehensive performance data.
Autonomy & Impact: Build and run your own portfolio within a next-generation institutional investment platform.
Growth Opportunity: Be part of a fast-growing company redefining how capital connects with quant talent in digital assets.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Finance and Sales
Equal Opportunity: ML Tech is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.
#J-18808-Ljbffr