Company Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. 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. Morgan Stanley 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.

Department Profile

- The cornerstone of Morgan Stanley's risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley's capital base and franchise. Risk Management protects the firm from exposure to losses resulting from defaults by our lending and trading counterparties.

Background on the Group

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, macroeconomic forecasting, and market shock generation for Firm Macro Scenarios (FMS) and regulatory stress testing exercises (e.g. CCAR and DFAST) conducted by the firm.

Position Background and Responsibilities

Scenario Analytics is seeking a strong Associate/Analyst level candidate to support the firm's Scenario Generation initiatives involving macroeconomic forecasting and upfront market shocks generation projects and deliverables. The candidate needs to collaborate within the team and across a range of functional groups to timely fulfill the deliverables for various stress testing exercises.

Primary Responsibilities include, but are not limited to:

- Organizing and processing macroeconomic and market data from various sources and implement different data quality checks.

- Researching on the different macroeconomic and market variables and actively participate in the economic/financial interpretation of the data.

- Actively participate in recognizing statistical patterns in the data, exploring different quantitative techniques to draw relationships among variables and interpret them based on economic/financial justifications.

- Participating in quantitative modeling tasks for Firm Macro Scenarios and scenarios for regulatory stress testing needs.

- Coding in R to enhance Scenario Generation models and process automation.

- Analyzing, explaining and documenting the models and their results.

- Liaising with risk managers and various business units across the firm for different stress testing initiatives.

- Assisting in research, modeling and development to enhance the scenario design framework.

- Communicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis.

- Providing support in tool development and testing.

Skills Desired

- High proficiency in programing in R/Python

- Prior quantitative modeling experience in Finance/ Data Science

- Well versed in major economic and financial market indicators (for associate)

Skills Required (Essential)

- Master's degree in a quantitative field such as Statistics, Mathematics, Operations Research, Physics, Engineering, Economics, or Finance, or equivalent

- 3 to 6 years (for associate) and 1 to 3 years (for analyst) of experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environment

- Analytical thinking, quantitative abilities and problem solving skills

- Knowledge of topics in Statistics like Random Variables, Probability Distributions, Regression Analysis, Hypothesis-testing, Time-Series Analysis etc.

- Exceptional technical skills in using R/Python for statistical analysis and function development

- Proficient in Excel and SQL

- Understanding of risk management concepts like Stress-Testing, regulatory frameworks for Risk Management (for associate)

- Basic knowledge of financial markets. Knowledge of Macroeconomics will be aplus.

- Attention to detail and ability to prioritize projects and workload

- 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

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