Data Scientist/Machine Learning Expert

About Us Legacy Enterprise owns, manages and operates a portfolio of businesses in the finance, healthcare, retail, and real estate sectors. Located in beautiful San Juan PR, the Legacy team prioritizes professional excellence, and quality of life. Our work environment includes: • Modern Penthouse Office in the heart of San Juan • Growth opportunities in a dynamic fintech hub • International, collaborative team • On-the-job training and mentorship • High-energy, innovation-driven culture Join our dynamic team as we scale our cutting-edge trading solutions. We’re seeking an experienced Data Scientist/Machine Learning Expert with big tech experience to drive our Expert Advisor (EA) development for all major trading platforms, with a strong focus on Python and API integrations. As a key benefit, you’ll have the opportunity to invest in our trading fund, aligning your financial success with our innovative strategies. We offer a competitive sign-on bonus. Core Functions • Code Analysis & Optimization: Analyze and enhance existing code for Expert Advisors to improve performance and reliability on all major trading platforms. • Machine Learning (ML) Integration: Develop and integrate predictive ML models into EAs, leveraging Python and APIs to advance trading strategies. • Development & Testing: Build, test, and deploy EA features, ensuring robust performance across diverse market conditions. Responsibilities • Analyze codebases to understand functionality and identify optimization opportunities. • Write, refactor, and test code in Python, and C++ to implement EA enhancements and fixes, with a primary focus on Python-based solutions. • Develop and integrate machine learning models (e.g., using TensorFlow, PyTorch, scikit-learn) into EAs. • Conduct rigorous backtesting and forward testing to validate EA performance and reliability. • Collaborate with traders to align EA functionality with trading objectives. • Maintain detailed documentation of code changes, optimizations, and integration processes. • Monitor real-time EA operations, troubleshoot issues, and deploy updates as needed. • Review code for security, efficiency, and adherence to algorithmic trading best practices. • Participate in team meetings to prioritize tasks and provide progress updates. • Continuously learn and stay updated on all major trading platform updates, MQL advancements, TradingView/PineScript developments, and ML techniques. • Contribute to a high-energy team culture, supporting shared goals and innovation. QualificationsMust Haves • Strong proficiency in Python, with expertise in machine learning model development (e.g., TensorFlow, PyTorch, scikit-learn) and API integrations. • Expertise in C++ for low-level optimizations and DLL integrations in all major trading platforms. • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience. Doctorate preferred. • Excellent problem-solving skills and attention to detail. • Willingness to relocate to San Juan, Puerto Rico, for a full-time position. • Fluent in English for verbal and written communication. Nice to Haves • Experience with machine learning in finance or algorithmic trading (e.g., predictive modeling, LSTMs). • Familiarity with additional tools/languages (e.g., R, MATLAB, Java) for data analysis. • Knowledge of financial markets, trading strategies, or forex regulatory compliance. • Proficiency with version control systems (e.g., Git) and agile methodologies. • Certifications in machine learning or MetaTrader-specific training. Why Join Us? • Access to our Fund: The unique opportunity to invest directly in our trading fund (exclusive for employees only, similar to Renaissance Technologies LLC), aligning your financial growth with the success of our innovative strategies. • Sign-On Bonus: Receive a competitive sign-on bonus with minimum time commitment. • Tax Advantages: Benefit from Puerto Rico’s Act 60 incentives. • Impactful Role: Apply your big tech experience to shape cutting-edge trading algorithms in a fast-growing fintech environment. • Collaborative Culture: Join an international, high-energy team with opportunities for growth and hands-on training. This job description is not all-inclusive and certain activities, duties or responsibilities may be required of the employee as needed. We offer competitive compensation packages and opportunities for career growth. Join our team of talented professionals and make a significant impact in our Company growth. Apply now! Job Type: Full-time Pay: $75,000.00 - $150,000.00 per year Benefits: • Flexible schedule • Health insurance • Relocation assistance Work Location: In person