Model Risk Management (Algorithmic Trading Risk) – Vice President London, England
Morgan Stanley
Full Time
London, England
65941 - 115000 GBP ANNUAL Today
Job description
Model Risk Management (Algorithmic Trading Risk) – Vice President
Job Number:
3239162
POSTING DATE: Aug 7, 2023
PRIMARY LOCATION: Europe, Middle East, Africa-United Kingdom-United Kingdom-London
EDUCATION LEVEL: Master's Degree
JOB: Model Risk
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President
DESCRIPTION
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
This role will reside within Firm Risk Management’s Model Risk Management (FRM) team, which is responsible for the Firm’s management of risks related to the implementation and use of models, covering all aspects f the Firm’s businesses and implementing key regulatory requirements. This position requires strong technical, leadership and organizational skills.
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
What will you be doing?
The role will involve being part of a team who review and independently validate Algorithmic trading models in accordance with applicable policies and guidelines. The role involves working with teams across model areas to develop solutions for automating model risk related activities and understanding model and data usage, quality and interdependencies across the Firm. The role requires a good understanding of electronic trading systems, design and architecture.
- Being part of a team of specialist technologists and model risk analysts
- Creating a reference target architecture that facilitates collaboration with stakeholders and ease of operation within MRM
- Establishing a culture of innovation and advancement through use of technology solutions
- Developing the teams’ analytics codebase, functionalities needed for Algo Model Validation
- Leading efforts on Automation and Innovation within the Algos Model Validation team
- Contributing significantly to the infrastructure across the Model Risk Management department
- Driving innovation on data science platforms & keeping abreast of modelling evolution
- Representing the team at model governance forums and other forums
- Analysing and communicating key model risks across the team and to senior management #LI-KF1
QUALIFICATIONS
What we’re looking for:
- Masters or Doctorate degree requirement (or equivalent)
- Good understanding of good technical design and hands on experience with a technology stack, e.g. Java, Python
- Practical experience building enterprise grade systems
- Excellent grasp of electronic trading systems with hands-on experience in the industry
- Experience in model validation and understanding of applicable regulations
- Hands on practical knowledge of agile methodologies and its application in running high performance teams
- Strong communicator with the ability to convey essential messages at multiple levels of the organization
- Ability to deal with ambiguity and work autonomously
Flexible work statement:
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Equal opportunities statement:
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. #LI-KF1
