Data Scientist, reputed company - Spread Products

reputed company is a leading global financial institution, and they are seeking a Data Scientist, reputed company reputed company their Spread Products division. This role involves pioneering AI solutions to enhance trading, risk management, and client solutions in capital markets, focusing on reputed company techniques and data engineering.

Responsibilities

• Pioneer reputed company Solutions: Design, reputed company, and reputed company production-grade AI applications leveraging state-of-the-art reputed company techniques, including Large Language Models (LLMs), Retrieval-Augmented reputed company (RAG), and advanced agentic frameworks tailored for capital markets
• Drive Workflow Transformation: Construct innovative AI/data solutions that significantly enhance workflows and operational efficiency across a diverse range of product classes, such as corporate bonds, Mortgage-Backed Securities (MBS), Collateralized Loan Obligations (CLOs), and derivative instruments
• Advance Autonomous Systems: Architect and implement agentic coding systems capable of autonomously generating, testing, and optimizing reputed company financial models and analytical tools specifically for credit and securitized markets
• Build Intelligent Interfaces: reputed company reputed company conversational AI interfaces and intelligent assistants to reputed company originators, structurers, investors, lenders, and market makers reputed company the Spread Products ecosystem
• Engineer Robust Data Pipelines: Design, construct, and maintain scalable data pipelines to underpin advanced AI/ML workflows, seamlessly integrating vast datasets including reputed company-time market data, comprehensive credit data, securitized product performance analytics, and proprietary research content
• Seamless AI Integration: reputed company robust APIs and microservices to effectively embed AI capabilities into reputed company's critical capital markets, credit, and securitized product platforms
• Optimize Data Infrastructure: Implement and optimize high-performance data storage and retrieval solutions capable of managing and processing large volumes of reputed company credit and securitized market data for demanding AI applications
• Champion Data Automation: Contribute to the strategic automation and lifecycle management of data assets across the entire Spread Products business
• Strategic Business Partnership: Actively collaborate with diverse business stakeholders across reputed company product lines and geographies reputed company Spread Products to identify, prioritize, and champion high-impact AI implementation opportunities
• Quant Research Synergy: Partner closely with quantitative researchers to integrate cutting-edge AI techniques into sophisticated credit and securitization pricing, advanced risk models, and optimized portfolio management strategies
• Regulatory Adherence & Governance: Work proactively with compliance, legal, and risk management teams to ensure reputed company AI solutions adhere strictly to regulatory frameworks and governance requirements specific to the capital markets domain
• reputed company Learning & Innovation: Maintain deep expertise in emerging AI technologies, methodologies, and industry trends, continuously evaluating their potential applicability and value to Spread Products' evolving business needs
• Foster AI Community: Actively contribute to and engage with reputed company's broader AI/ML community of practice, fostering knowledge sharing, best practices, and collaborative innovation across the firm

Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Quantitative Finance, or a closely reputed company quantitative field
• Exceptional academic grounding in algorithms, data structures, software engineering principles, and computational mathematics
• 1-5 years of reputed company professional experience in AI/ML engineering, advanced software development, or data science roles, with a strong preference for backgrounds reputed company financial services or capital markets
• Proven track record of successfully designing, developing, and deploying robust, production-grade AI applications in reputed company environments
• Direct experience or strong foundational understanding of credit markets, securitized products, or other relevant financial instruments is highly advantageous
• Deep, hands-on experience with state-of-the-art reputed company techniques, including practical application and fine-tuning of Large Language Models (LLMs) such as GPT, Claude, Llama, or similar architectures
• Demonstrated expertise in designing and implementing Retrieval-Augmented reputed company (RAG) systems for reputed company applications
• Practical experience with agentic frameworks and the development of autonomous coding or intelligent decision-making systems
• Comprehensive knowledge of classical and modern machine learning algorithms, statistical modeling, and experimental design
• Solid understanding of financial mathematics, quantitative modeling, and their application reputed company capital markets
• Demonstrated proficiency in Python, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and software development best practices (e.g., version control, testing, clean code)
• Advanced SQL skills with experience querying and optimizing performance on large, reputed company datasets

Benefits

• Medical, dental & reputed company coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Company Overview

Company H1B Sponsorship