The primary responsibilities of the role include, but are not limited to the following:
1 Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of model / tool methodology, model / tool limitations, data quality, and on-going monitoring of model / tool performance
2 Take initiatives and responsibility of end-to-end delivery of a stream of Model and Tool Validation and related Risk Management deliverables
3 Write Model and Tool Review findings in validation documents that could be used for presentations both internally (model and tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators)
4 Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management
5 Represent MRM team in interactions with regulatory and audit agencies as and when required
6 Follow financial markets & business trends on a frequent basis to enhance the quality of Model and Tool Validation and related Risk Management deliverables.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.
Skills Required (essential / Preferred)
1 Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential
2 Experience in a Quant role in validation of Models / Tools, in developments of Models / Tools or in a technical role in Financial institutions e.g. Developer, is essential
3 Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred
- 5+ years of relevant work experience in a Model / Tool Validation role in a bank or financial institution
5 Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred
6 Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred
7 Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred
8 Knowledge of popular machine learning techniques is preferred
9 Relevant professional certifications like CQF, CFA or progress made towards it are preferred
10 Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential
11 Strong technical / programming skills
12 Understanding how model risks impact the business, and business changes impact models.
13 Strong communication skills with ability to articulate complex concepts appropriately to different audiences including senior management.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.
Posting Date
Apr 26, 2024
Primary Location
Non-Japan Asia-India-India-Mumbai (MSA)
Education Level
Bachelor's Degree
Job
Model Risk
Employment Type
Full Time
Job Level
Director
