Tuning / Optimization Quantitative Lead
Posted on Jan 24, 2019 by Morgan Stanley USA
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.
Professionals within the Legal and Compliance Division (LCD) provide a wide range of services to our business units. They might help to structure a complex and sensitive cross-border transaction; advise on a new product introduction; develop a training program or defuse an investor dispute. They preserve the firm's invaluable reputation for integrity and protect the firm from sanctions with policies and procedures that meet regulatory requirements around the world. They also strive to maintain cooperative relationships with governmental policy makers and the regulatory and self-regulatory agencies that govern the firm's businesses.
Oversight (Monitoring & Testing) Analytics is a function in the Compliance Department reporting to the Head of Compliance Oversight. The team is responsible for designing and optimizing surveillances, assisting with data analysis to support Monitoring and Testing, and leading strategic initiatives to increase adoption of advanced analytical techniques like Natural Language Processing (NLP), Natural Language Generation and graph analytics. The surveillances and other tools help identify suspicious and/or illegal behaviors like market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
The Tuning & Optimization Quantitative Lead will work on optimizing Compliance surveillances. This would entail evaluating the effectiveness of the existing controls; recommending the consolidation and/or replacement of certain controls; enhancing and executing a program to validate surveillance parameters and thresholds (i.e., tuning); and designing / modeling new surveillance controls.
The role would require statistical modeling and use of advanced analytical techniques like anomaly detection (e.g., understand patterns of trading and market behaviors across multiple asset classes that may be an indication of manipulation and design surveillances to detect such behavior). It requires hands on programming and modeling using Spark in Scala or PySpark, leveraging a large Hadoop data store or an Elastic search store.
The Tuning & Optimization Quantitative Lead will interface independently with Compliance Monitoring teams globally to drive and execute initiatives. As a team lead, the candidate will be managing the members of the tuning team across time zones and will be responsible for training, guiding and providing oversight to them.
-Improve the overall surveillance program effectiveness, partnering with Compliance Technology and with stakeholders in Compliance Monitoring and Testing teams.
-Conduct analysis on compliance monitoring data and make recommendations on the parameters to help improve the effectiveness of the in-house and vendor surveillances
-Design and model new surveillances that derive insights from a variety of data sources (trading systems, exchange data, monitoring systems, etc.), connecting the dots on compliance risks facing the Firm
-Keep abreast of industry standards and regulatory trends in the Legal and Compliance Data Analytics space
-Help to drive innovation and continuous improvement within the global Compliance Monitoring and Testing programs through execution of strategic projects
-Provide training, guidance and oversight to team of Quantitative Analysts
-Conform to the Firm's model control and documentation standards and interface with Model Risk Management team, and occasionally regulators, to explain the model design and threshold choices
-A Master's degree with specializations like Quantitative Finance, Quantitative Economics or Data science
-4 to 7 years of overall experience in an analytical or data scientist role
-Experience programming in a high level language like Java or Scala
-Experience with a Unix / Linux operating system
-Understanding of Capital market including market microstructure, listed derivatives and fixed income instruments is a significant plus
-Strong business analysis skills
-Detail-oriented and organized
-Ability to work with global, cross-functional teams
-Excellent written and oral communication skills
-Experience with application range of modeling techniques from statistical analysis, time series and regression models, and unsupervised ML techniques; preferably using Spark/PySpark - ML and MLLib
-Experience with manipulating large data sets across Hadoop or inverted index stores like Elastic Search
Tuning / Optimization Quantitative Lead