Investment Systems Risk Associate

A Financial Consulting firm in Chicago is searching for 2 Associate level developers that will be responsible for front end development focusing on Investment and market risk assessment. The Developers must demonstrate a strong understanding of fundamental risk and how it impacts a client's overall exposure in the global marketplace. The developers will interface with Risk and Portfolio managers and analytics teams to design and enhance tools that support the firm’s investment strategies .

High quality technology solutions

Develop and maintain strong partnerships with end-users and colleagues

Create deliverables that meet our businesses requirements and audit/control requirements aligned with business and technology strategies.

Analyze and control daily risk metrics produced on trading activities for fixed income

Working with senior market risk professionals on monitoring market risk limits and making quantitative and qualitative assessments of activity risk profiles and markets.

Conduct review of migration projects. Assess impact of new versions roll-out, new perimeter definition, parameter/model changes and market data sources modifications.

Participate in project planning sessions to define risk management project requirements for development of the applications. 

Assist in the development of new reporting process and workflows to enhance our risk assessment for the firm’s macro exposures. 

Provide ongoing development and maintenance of existing application functionality while working closely with the client support teams to address issues that are escalated for resolution. 

4-year degree in Computer Science required.

At least 2-4 years building institutional financial systems or other related applications, especially in the fixed income and/or equities markets.

Exceptional programming skills in  (Java, Perl) and C++, SQL a must. 

Experience with Unix (especially Solaris and Linux) and Windows.

Systems integration, especially complex distributed systems with a large number of interdependencies.