• Work proactively with the portfolio management teams in New York to identify risk-related information required to assist in the portfolio management effort.

• Perform original analyses, both quantitative and qualitative, of risk issues related to municipal, money market, and insurance-oriented portfolios and strategies. These analyses may be requested by portfolio managers or by other members of the risk management group.

• Identify risk issues arising from the portfolios managed in New York; analyze these issues; and escalate to personnel such as the chief risk officer when appropriate

• Oversee analytics production morning process

• Interface with and support several of the firm’s major proprietary and vendor related systems and applications

• Interface across departments to resolve any issues as they pertain to analytics and data integrity

• Work closely with other areas of the firm to accurately and efficiently disseminate analytics information

• Train, coach and mentor staff members; formally review staff semi-annually

Competencies:

• Ten years’ minimum experience in analysis of fixed income securities

• Demonstrated knowledge of fixed income instruments (debt, warrants, options, futures, OTC derivatives, etc) and financial markets across various countries and currencies

• Strong knowledge of municipal, money market, and insurance-oriented portfolio management strategies and benchmarks a plus

• Strong technological acumen; advanced Excel, Access queries, SQL, and working knowledge of Bloomberg API

• Knowledge of vendor risk systems (Point, Yieldbook) a plus

• Excellent interpersonal skills, including verbal and written communication skills

• Must have a proven ability to motivate, mentor and lead a team of comparable size and skill

• Must be professional, detail-oriented, organized, proactive and possess the ability to perform in a fast-paced, high- pressure, team environment

• Flexible work hours required

Equal Opportunity Employer

Academic Qualifications (minimum requirements):

Graduate level degree in Financial Engineering or other quantitative discipline desired