Senior Quantitative Portfolio Manager

Senior Quantitative Portfolio Manager / Quantitative Researcher

Location: New York City, NY (Hybrid / In-Person)

Position Type: Full-Time

AUM Allocation: $300 MM

Compensation: Direct 10% Profit Share (Pari-Passu PnL Cut)

MUST HAVE EXPERIENCE CREATING PROFITABLE QUANT MODELS

About Us

We are a rapidly growing quantitative investment management firm deploying advanced, data-driven trading strategies across highly liquid global markets. Having successfully built an institutional-grade infrastructure—complete with a verified third-party audited track record, robust SEC compliance frameworks, and tier-1 prime brokerage leverage facilities—we are ready to aggressively scale our operations.

We are fully capitalized and currently looking to allocate $300MM+ in starting AUM to elite quantitative talent capable of deploying alpha-generating systematic strategies. Unlike traditional "black box" multi-manager platforms that clip your upside, we operate a transparent, entrepreneurial environment designed to directly reward the engineers who build the models.

The Opportunity

We are bypassing the standard bureaucratic hedge fund corporate ladder. If you have a proven, historically profitable quantitative model that can scale, we have the immediate balance sheet and structural capacity to back you.

As a Senior Quant PM / Researcher, you will be given a dedicated capital allocation from our $300MM+ pool. You will directly retain a 10% performance cut on all net profits produced by your models.

To ensure your strategy executes flawlessly, we provide:

Institutional Leverage Infrastructure: Pre-established, deeply discounted portfolio margin and synthetic leverage lines with tier-1 prime brokers (including Bank of America and BNP Paribas).

Cutting-Edge Execution Technology: High-throughput, low-latency execution frameworks (FIX protocols via FlexTrade EMS) to minimize execution slippage and market impact.

Operational & Legal Protection: Full back-office support, institutional fund administration, and strict SEC/CFTC compliance guardrails, letting you focus entirely on the math and code.

Key Responsibilities

Alpha Generation: Lead the end-to-end design, development, and implementation of high-capacity systematic trading strategies (e.g., statistical arbitrage, mean-reversion, machine learning ensemble models, or high-frequency relative value).

Portfolio & Risk Management: Monitor, optimize, and manage the risk profile of your deployed models, ensuring hard-coded boundary constraints and drawdowns remain within institutional risk parameters.

Data Engineering: Clean, process, and analyze massive, unstructured financial datasets to identify predictive market anomalies and alternative data signals.

Scale Execution: Collaboratively refine our automated execution algorithms to optimize fill rates and manage trading costs across large block allocations.

Qualifications

The Ultimate Prerequisite: A proven, verifiable track record of independently designing and deploying profitable, systematic trading models in a live production environment.

Academic Excellence: Master’s or PhD in a highly quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or Financial Engineering).

Programming Mastery: Expert-level proficiency in Python, C++, or R, with deep experience utilizing quantitative libraries, backtesting engines, and automated API integrations.

Market Knowledge: Comprehensive understanding of market microstructure, order book dynamics, short-locate mechanics, and derivative pricing models.

Independence: The entrepreneurial mindset required to take ownership of a multi-million-dollar portfolio from day one.

What We Offer

Uncapped Upside: A legal, contractually guaranteed 10% PnL payout structure.

Institutional Backing: Immediate transition into a bulletproof, audited institutional framework, cleanly moving you past any previous retail account limitations.

Comprehensive Benefits: Competitive base salary, premium healthcare/dental/vision coverage, and top-tier office infrastructure in the heart of the financial sector.