Address
Form of work Associate -Risk Analytics (Risk Management)
Job Number:
3245843
POSTING DATE: Jan 15, 2024
PRIMARY LOCATION: Non-Japan Asia-India-India-Mumbai (MSA)
EDUCATION LEVEL: Bachelor's Degree
JOB: Risk Analytics
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
DESCRIPTION
Morgan Stanley's Risk Analytics department that resides within Firm Risk Management (FRM) performs quantitative analysis on the Firm's Credit, Market, Operational, and Liquidity risk exposures. The department's primary objective is to measure and project risks across the Firm to support executive decisions and protect the Firm. Risk Analytics has main presence in New York and London, also attracts talent in Budapest and Mumbai.
The Scenario Analytics team is a part of the Risk Analytics division. It is a methodology team responsible for scenario design and macroeconomic forecasting for budgeting, and internal and regulatory stress testing exercises (e.g., CCAR and DFAST) conducted by the firm.
Position Background and Responsibilities
Scenario Analytics is seeking a strong candidate at the level of Analyst/Associate to support the Global team. The candidate will be responsible for supporting the team in a variety of initiatives like migrating data production and model development codebase to Python, Macro forecasting model development, Production activities for forecast generation under different scenarios, Data preparation for model development and production, Monitoring of macroeconomic and market indicators etc. The candidate needs to collaborate within the team and across a range of functional groups to timely fulfill the deliverables for various initiatives.
Primary Responsibilities include, but are not limited to:
> Designing the architecture and migrating the existing data preparation and model development codes from R to Python.
> Support Scenario Analytics Global team in development, monitoring, and enhancement activities of forecasting models for macroeconomic and market variables.
> Support Scenario Analytics Global team in review of variable projections for various regulatory and internal exercises of the firm.
> Supporting data updates and quality checks for Scenario Generation model development and production activities for budgeting as well as several regulatory and internal stress-testing exercises.
> Contribute to developments/enhancements of Data Quality check algorithms and code-based implementation.
> Support production activities for Mumbai team owned Scenario Generation exercises.
> Contribute towards documentation of models and their results.
> Participate in design of new methodologies and various adhoc analyses as may be required from time to time.
> Develop as a key player in development and implementation of various functions into strategic systems and participate in and support UAT
> Supporting team in various developments/enhancements in the data consolidation process which include creation of synthetic variables, fill-forward methodologies, code efficiency improvements etc.
> Evaluate data limitations and actively participate in proposing and implementing mitigations.
> Supporting the team in ad hoc initiatives involving, research or tool development as may be required for enhancements to business performance
The Scenario Analytics team is a part of the Risk Analytics division. It is a methodology team responsible for scenario design and macroeconomic forecasting for budgeting, and internal and regulatory stress testing exercises (e.g., CCAR and DFAST) conducted by the firm.
Position Background and Responsibilities
Scenario Analytics is seeking a strong candidate at the level of Analyst/Associate to support the Global team. The candidate will be responsible for supporting the team in a variety of initiatives like migrating data production and model development codebase to Python, Macro forecasting model development, Production activities for forecast generation under different scenarios, Data preparation for model development and production, Monitoring of macroeconomic and market indicators etc. The candidate needs to collaborate within the team and across a range of functional groups to timely fulfill the deliverables for various initiatives.
Primary Responsibilities include, but are not limited to:
> Designing the architecture and migrating the existing data preparation and model development codes from R to Python.
> Support Scenario Analytics Global team in development, monitoring, and enhancement activities of forecasting models for macroeconomic and market variables.
> Support Scenario Analytics Global team in review of variable projections for various regulatory and internal exercises of the firm.
> Supporting data updates and quality checks for Scenario Generation model development and production activities for budgeting as well as several regulatory and internal stress-testing exercises.
> Contribute to developments/enhancements of Data Quality check algorithms and code-based implementation.
> Support production activities for Mumbai team owned Scenario Generation exercises.
> Contribute towards documentation of models and their results.
> Participate in design of new methodologies and various adhoc analyses as may be required from time to time.
> Develop as a key player in development and implementation of various functions into strategic systems and participate in and support UAT
> Supporting team in various developments/enhancements in the data consolidation process which include creation of synthetic variables, fill-forward methodologies, code efficiency improvements etc.
> Evaluate data limitations and actively participate in proposing and implementing mitigations.
> Supporting the team in ad hoc initiatives involving, research or tool development as may be required for enhancements to business performance
QUALIFICATIONS
Required Qualifications
> Master's/Bachelor's/Advanced degree in Computer Science, Mathematics, Physics, Engineering, or other quantitative subjects
> 2 to 4 years of experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environment
Skills Required
> Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
> Solid development experience in Python.
> Knowledge and hands-on experience in R
> Proficient in Excel and SQL
> The candidate needs to be familiar with different statistical techniques viz. Regressions Analysis, Hypothesis testing, Econometrics, etc.
> Proven track record of contributing to quantitative/analytical teams.
> Basic knowledge of financial markets and macroeconomics
> Attention to detail
> Self-motivated team player who brings a can-do approach
> Ability to work well under pressure in a fast-paced team-oriented environment
> Strong communication skills; ability to present complex and technical issues clearly, both verbally and in writing
> Master's/Bachelor's/Advanced degree in Computer Science, Mathematics, Physics, Engineering, or other quantitative subjects
> 2 to 4 years of experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environment
Skills Required
> Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
> Solid development experience in Python.
> Knowledge and hands-on experience in R
> Proficient in Excel and SQL
> The candidate needs to be familiar with different statistical techniques viz. Regressions Analysis, Hypothesis testing, Econometrics, etc.
> Proven track record of contributing to quantitative/analytical teams.
> Basic knowledge of financial markets and macroeconomics
> Attention to detail
> Self-motivated team player who brings a can-do approach
> Ability to work well under pressure in a fast-paced team-oriented environment
> Strong communication skills; ability to present complex and technical issues clearly, both verbally and in writing
“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.”
