AI Data Trainer Finance

5 days ago

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Job Description Job Title: Scientific Computing Engineer (Mathematics / Finance Domains) Company: BespokeLabs (VC-backed; founded by IIT & Ivy League alumni) Type: Contract | Remote Compensation: $25$40/hour (open to reconsideration for exceptional talent) About BespokeLabs BespokeLabs is a venture-backed startup founded by seasoned IIT and Ivy League alumni. We specialize in developing cutting-edge, AI-driven systems and next-generation digital products. Our mission is to transform complex real-world problems into scalable, high-performance solutions powered by advanced computational science. We are seeking exceptional Scientific Computing Engineers across two specialized domains: 1. Mathematics & Applied Math 2. Finance & Quantitative Engineering Role Overview As a Scientific Computing Engineer, you will design, implement, and optimize high-performance computational models and algorithms across applied math or quantitative finance. You'll collaborate with researchers and engineers to build robust, scalable computational systems. Key Responsibilities Core Responsibilities (for all domains) - Build and optimize numerical algorithms and scientific computing pipelines - Develop high-performance code in Python, C++, Rust, or Julia - Implement experiment workflows and validate model accuracy - Work with simulations, numerical solvers, or statistical models - Ensure numerical stability, reproducibility, and computational efficiency - Collaborate with cross-functional teams to convert complex concepts into production-grade solutions. Domain-Specific Expertise 1. Mathematics & Applied Math What you'll work on: - PDE/ODE solvers, optimization models, simulation engines - Computational physics, numerical analysis, Monte Carlo simulations - Custom scientific algorithms for domain-specific workloads Required Skills: - Strong foundations in linear algebra, calculus, probability, and optimization - Experience with scientific computing tools (NumPy, SciPy, JAX, MATLAB, Fortran, etc.) - Ability to build and validate custom numerical models - Practical experience with algorithmic efficiency and accuracy checks 2. Finance & Quantitative Domains What you'll work on: - Pricing models, risk engines, time-series forecasting - Stochastic models, portfolio optimization, Monte Carlo simulations - High-performance implementations of quant algorithms Required Skills: - Background in financial mathematics, stochastic processes, econometrics - Experience with quant libraries (Pandas, NumPy, QuantLib, etc.) - Familiarity with option pricing, volatility modeling, or statistical forecasting - Strong coding fundamentals and numerical precision mindset Qualifications - 5+ years of experience in scientific computing, applied mathematics, or quantitative engineering - Strong programming skills in Python and one compiled language (C++, Rust, Julia, or similar) - Experience building production-grade scientific or computational systems - Strong grounding in numerical methods or quantitative analysis - Prior experience in research, HPC, or computational finance is a strong plus Bonus Skills - GPU acceleration and parallel computing - Distributed systems or HPC - Participation in Kaggle-like competitions or mathematical/quant challenges - Publications, research experience, or open-source contributions Why Work With Us - Work on high-impact computational systems with top-tier engineers - Flexible remote contract role with strong compensation - Opportunity to contribute to core R&D at a fast-growing AI startup

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