Morgan Stanley - Director - Algo Validation Risk Management

Background of the position.

The role will reside within Firm Risk Management's e-Trading Risk Management team. e-Trading Risk Management provides oversight of the Firm's e-Trading activities, serving as a second line of defense. Responsibilities include, but are not limited to, oversight and monitoring of the Firm's overall e-trading businesses including independent identification, analysis, reporting and escalation of risks arising from the Firm's e-Trading activities, providing an effective and independent challenge process as well as 2nd line e-Trading risk limit setting and monitoring.

Firm Risk Management's e-Trading Risk Management team focuses primarily on the Operational and Market risks arising from electronic trading and works closely with counterparts in Market Risk Department, Operational Risk Department, Model Risk Management and Credit Risk Department as well as the 1st line business and other support and control functions.

Primary Responsibilities:

- Analysis and test verification review of e-Trading algorithms, including controls and testing methods, as part of 2nd Line of Defense oversight.

- Applying an assessment of risk for observations found during test analysis. Communication of the same to the first line of defense for resolution.

- Collaborate across a diverse set of stakeholders including: Business Unit Risk Management, Compliance, Technology, and Production Support.

- Partner with other risk functions on the reporting and management of risks associated with electronic trading.

- Escalate emerging or developing risks as the technological landscape evolves.

- Experience in working in cross-functional and cross-cultural working environments.

- Resilient, self-managing and highly organized with a quality and delivery mind set.

- Strong verbal and written communication skills.

Recommended Skillset:

The ideal candidate will have 6+ years of experience in a role with direct exposure to electronic trading with a background in algorithm development or quality assurance of electronic trading components. Scripting skills using one of: Python, Java, or C++ and a solid understanding of the FIX Protocol is required. An understanding of market data is beneficial.

Excellent academic background, including an advanced degree in a quantitative discipline, such as Economics, Finance, Sciences or Engineering. Candidate should possess a strong knowledge of financial products, including an understanding of risk representations, an understanding of risk management concepts, and market dynamics.