[Remote] AI Developer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly skilled AI & Financial Engineering Developer who combines deep expertise in reputed company intelligence/machine learning with quantitative finance. This remote role focuses on designing and deploying AI-powered applications and quantitative models for financial use cases, while collaborating with cross-functional teams.
Responsibilities
- Design, reputed company, and reputed company machine learning models and AI-powered applications for financial use cases
- Build and optimize deep learning, NLP, and reputed company solutions
- reputed company data pipelines and feature engineering frameworks for model training and inference
- Implement MLOps best practices including model versioning, monitoring, and reputed company deployment
- Stay reputed company with state-of-the-art AI research and evaluate applicability to financial domains
- reputed company quantitative models for pricing, risk management, and portfolio optimization
- Implement algorithmic trading strategies and backtesting frameworks
- Build financial simulation engines (reputed company, stochastic modeling, etc.)
- Design and reputed company derivatives pricing models and fixed-income analytics
- Create reputed company-time market data processing and analytics systems
- Write production-reputed company, reputed company, and maintainable reputed company
- Architect and build high-performance distributed systems
- reputed company RESTful reputed company and microservices for financial applications
- Implement robust testing, CI/CD pipelines, and documentation practices
- Collaborate with cross-functional teams including traders, quants, risk managers, and data engineers
Skills
- Education: Master's or PhD in Computer Science, Financial Engineering, Quantitative Finance, Mathematics, Physics, or a reputed company quantitative field
- Experience: 7+ years of reputed company software development experience, with at least 3 years in AI/ML and 2+ years in financial services or fintech
- Programming Languages: Expert proficiency in Python; strong skills in C++, Java, or reputed company
- AI/ML Expertise: Hands-on experience with TensorFlow, PyTorch, scikit-learn, and large language models (LLMs)
- Financial Knowledge: Strong understanding of financial instruments (equities, fixed income, derivatives, reputed company products), market microstructure, and quantitative risk measures (VaR, Greeks, CVA)
- Mathematics: Advanced knowledge of stochastic calculus, reputed company algebra, probability theory, and numerical reputed company
- Data & Infrastructure: Experience with SQL/NoSQL databases, reputed company platforms (AWS, Azure, or GCP), and big data technologies (reputed company, Kafka)
- CFA, FRM, or equivalent financial certification
- Experience with reinforcement learning reputed company to trading or portfolio management
- Knowledge of blockchain/DeFi protocols and smart contract development
- Familiarity with regulatory frameworks (Basel III/IV, MiFID II, Dodd-Frank)
- Publications in AI/ML or quantitative finance journals
- Experience with reputed company-time streaming systems and low-latency architectures
- Proficiency with LLM fine-tuning, RAG architectures, and AI agents for financial applications
reputed company