Quantitative Financial Specialist

About Bespoke Labs: Bespoke Labs is an elite, research-driven artificial intelligence and systems engineering laboratory that partners with leading institutional trading hubs to architect high-performance financial models. Operating at the frontier of empirical data analysis, we build systematic trading strategies, strategy benchmarking frameworks, and robust risk management software tooling. Bespoke Labs operates on a global remote-first framework, uniting highly mathematical researchers and infrastructure engineers to solve highly complex, real-world algorithmic challenges.

Position Overview

We are seeking a highly analytical, hands-on Quantitative Financial Specialist to join our Freelance Experts network. This is not a generalized data science role; you are expected to possess an authoritative understanding of the live financial markets you model, the systematic trading strategies you deploy, and the structural portfolio risk you manage. Utilizing Python as a specialized execution layer, you will architect complete backtesting frameworks, design signal generation pipelines, perform multi-regime factor exposure decompositions, and validate execution logic grounded in rigorous financial theory and statistical judgment.

Key Responsibilities

• Systematic Strategy Development: Research, build, and validate robust mathematical trading strategies, including statistical arbitrage, mean reversion, momentum alpha channels, and macro factor models.
• Backtest Engineering & Validation: Write clean, modular Python infrastructure to execute backtests with strict out-of-sample validation parameters and realistic transaction cost curves.
• Market Microstructure Modeling: Design quantitative pipelines focused on alpha decay profiles, transactional slippage parameters, market impact analytics, and real-time regime detection.
• Portfolio Risk Analysis: Perform exhaustive strategy stress testing and risk decompositions, including drawdown analysis and factor exposure monitoring across highly volatile market regimes.
• Infrastructure System Verification: Work directly within simulated execution layers and tracking tools to evaluate strategy behavior at the portfolio level.
• Research Documentation Governance: Author clear, publication-grade research documentation tracking model assumptions, statistical inference outcomes, and trading methodologies.

Required Skills & Qualifications

• Master’s or PhD degree in a highly quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or closely related empirical fields.
• 2–5 years of verified professional history in quantitative research, systematic trading, or algorithmic model development at a hedge fund, proprietary trading shop, or asset manager.
• Profound understanding of financial markets, transaction mechanics, market microstructure data, and P&L attribution auditing frameworks.
• Advanced engineering proficiency in Python, specifically utilizing scientific compute packages including NumPy, pandas, SciPy, and statsmodels.
• Demonstrated experience applying time-series modeling, factor analysis, and rigorous statistical inference to noisy financial datasets.
• Strong capabilities to build financially-grounded quantitative frameworks rather than speculative, data-driven black boxes.
• Location Context: 100% remote-first contractor infrastructure flexibility open to qualified quantitative researchers located Worldwide (Global Remote).

Preferred Strategic Indicators (Nice to Have)

• Published thesis work or peer-reviewed research papers in quantitative finance, econometrics, or empirical machine learning.
• Background optimizing high-frequency trading (HFT) architectures, market-making models, or latency-sensitive routing pipelines.
• Familiarity leveraging machine learning techniques (such as gradient boosting, sequence models, or reinforcement learning) inside financial execution stacks.
• Exposure to options pricing theory, volatility modeling, alternative data sourcing (NLP, order flow), or decentralized crypto asset microstructure.

What We Offer

• The exceptional professional runway to engineer and validate next-generation systematic trading engines inside an elite global freelance framework.
• Highly competitive contract compensation package calibrated directly against your quantitative research experience and mathematical depth.
• 100% remote working freedom with absolute scheduling autonomy, allowing you to control your tools and hours natively.
• Direct collaboration with a seasoned network of technological innovators and institutional market experts.