Python Developer Risk Technology - Director

Morgan Stanley • New York, NY

8d • $120,000 - $165,000

About The Position

Build and own Python-based frameworks for data analytics, automation, and conversational interfaces. Deliver innovative applications and tools that allow business users to onboard and manage their datasets and leverage self-service analytics. Architect and manage RESTful services for large-scale enterprise solutions. Implement scalable solutions for risk analytics and automation, integrating with existing risk engines and data pipelines. Optimize data ingestion and processing pipelines for efficiency and performance. Ensure compliance with regulatory requirements for risk technology. Provide technical leadership and mentorship to developers in the squad. Work in an Agile environment to deliver high-quality, timely solutions. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

• Strong hands-on application development experience in Python, preferably FastAPI or Flask.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, privacy, and security.
• Experience designing and managing RESTful services for enterprise-scale systems.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, and performance profiling.
• Practitioner of unit testing, performance testing, and BDD/acceptance testing.
• Understanding of OAuth 2.0 for secure authorization.
• Proficiency with Open Telemetry tools (Grafana, Loki, Prometheus, Cortex).
• Demonstrated experience in DevOps, CI/CD (Jenkins), and GitOps.
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong understanding of cloud-native architecture, microservices, Kubernetes, Docker, Kafka.
• Knowledge of various DB engines (SQL, Snowflake, Redis, Kafka) for cloud app storage.
• Familiarity with SRE techniques and observability best practices.
• Experience building AI applications, preferably Generative AI and LLM-based apps.
• Understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, and frameworks like LangChain and LangGraph.
• Experience with embeddings, fine-tuning Generative AI models, and LLM Ops/ModelOps.
• Understanding of Responsible AI, AI Ethics, and secure coding practices.
• Strong problem-solving and analytical thinking.
• Ability to act autonomously and make complex decisions.
• Excellent communication and collaboration skills across global teams and time zones.
• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.

Responsibilities

• Build and own Python-based frameworks for data analytics, automation, and conversational interfaces.
• Deliver innovative applications and tools that allow business users to onboard and manage their datasets and leverage self-service analytics.
• Architect and manage RESTful services for large-scale enterprise solutions.
• Implement scalable solutions for risk analytics and automation, integrating with existing risk engines and data pipelines.
• Optimize data ingestion and processing pipelines for efficiency and performance.
• Ensure compliance with regulatory requirements for risk technology.
• Provide technical leadership and mentorship to developers in the squad.
• Work in an Agile environment to deliver high-quality, timely solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Director