Model Risk Management (Algorithmic Trading Risk) - Vice President London, England
Morgan Stanley
Full Time
London, England
65572 - 116000 GBP ANNUAL Today
Job description
Model Risk Management (Algorithmic Trading Risk) - Vice President
Job Number:
3236682
POSTING DATE: May 5, 2023
PRIMARY LOCATION: Europe, Middle East, Africa-United Kingdom-United Kingdom-London
EDUCATION LEVEL: Bachelor's Degree
JOB: Model Risk
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President
DESCRIPTION
Division: Firm Risk Management
Role: Model Risk Management (Algorithmic Trading Risk)
Level: Vice President
Location: London
Firm Risk Management
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient 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.
Background on the Position
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 of the Firm's businesses and implementing key regulatory requirements. This position requires strong technical, leadership, and organizational skills.
Primary Responsibilities
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 models and data usage, quality and interdependencies across the Firm. The role requires a good understand of electronic trading systems, design and architecture.
Role: Model Risk Management (Algorithmic Trading Risk)
Level: Vice President
Location: London
Firm Risk Management
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient 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.
Background on the Position
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 of the Firm's businesses and implementing key regulatory requirements. This position requires strong technical, leadership, and organizational skills.
Primary Responsibilities
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 models and data usage, quality and interdependencies across the Firm. The role requires a good understand of electronic trading systems, design and architecture.
The role will involve:
> 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
FRM is committed to creating and providing opportunities that enable our workforce to reflect diverse backgrounds and views
> 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
FRM is committed to creating and providing opportunities that enable our workforce to reflect diverse backgrounds and views
#LI-SC1
QUALIFICATIONS
Skills Required:
> Masters or Doctorate degree required
> 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 to work autonomously
> Masters or Doctorate degree required
> 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 to work autonomously
