As a Market Risk Technology Director, you will lead the development of Python-based AI applications that empower business teams to onboard datasets and leverage advanced analytics. Your role involves designing scalable solutions for risk data processing, RESTful services, and agentic workflows, ensuring seamless integration with natural language interfaces and Large Language Models. You will collaborate closely with Firm Risk Management stakeholders to deliver innovative tools and mentor developers in agile practices. Key responsibilities include optimizing data ingestion pipelines, providing technical leadership, and owning the reliability of AI systems used by Market Risk teams. Strong hands-on experience in Python, FastAPI or Flask, and production-grade AI applications is essential, along with expertise in SQL, concurrency optimization, and unit testing. Desired qualifications include familiarity with OpenTelemetry, cloud-native architectures, data streaming technologies, and CI/CD practices. This role offers the opportunity to transform how business teams interact with risk data and drive productivity improvements through self-service analytics and Python engineering excellence.
Build and own Python-based AI applications using natural language interfaces and large language models.
Design RESTful services for enterprise-scale solutions adhering to open standards.
Optimize data ingestion and processing pipelines for efficiency and performance.
Provide technical leadership, mentorship, and architectural guidance within agile teams.
Collaborate with risk management stakeholders to deliver innovative AI solutions.
What we're looking for
Strong hands-on experience in developing Python-based applications, including service APIs using FastAPI or Flask.
Proven track record of designing and delivering production-grade AI or LLM-based applications.
Solid understanding of data engineering principles, including SQL, data modeling, and lifecycle management.
Experience with concurrency and performance optimization techniques such as multiprocessing, multithreading, and asynchronous I/O.
Practitioner in unit testing, integration testing, and performance testing methodologies.
Ownership of systems in production environments, ensuring reliability, incident management, and continuous improvement.
Technical leadership skills, including setting direction, making architectural decisions, and mentoring senior engineers.
Market check
Salary context
This
$120,000–$165,000
range sits above
12%
of similar postings on FindRole.
Peer median band
$172,100–$258,125
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$173,175–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Morgan Stanley
Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services
Morgan Stanley currently has
35 open roles
on FindRole.
Listed pay typically runs
$139,500–$165,000
across 34 roles with salary data.