Graduate Consultant– Quant Risk

Graduate Consultant– Quant Risk

Quant Capital is urgently looking for a Graduate Consultant to join our high profile client.

Our client is a well-known leading provider of integrated risk, analytics and trading solutions for the global financial markets. Their clients include some of the largest global financial institutions and banks, leading hedge funds, pension funds, insurers, brokers, clearing members and corporates.

This is an ideal opportunity to get into Quantitative Finance

The primary purpose of the Graduate Consultant is to provide technical delivery of and support of implementations across the Quant market. This role will be suitable for candidates who have worked on database technology products and have an interest in financial consulting.

You will be responsible for running your own projects as well as working closely with presales. (Full training provided)

·Implementation Support
·Implementation development, which includes data interfaces, workflows and bespoke reports
·Define and execute system test plans to ensure client requirements are met
·Support for end users to troubleshoot, diagnose and resolve complex technical issues
·Coordination with internal staff and clients to ensure on-time project deliveries
·Train end users on the technical configuration and features of the system
·Maintain strong working relationships with clients

Implementation Consultants must have:
• 2:1 or First Class Undergraduate degree in Comp Sci, Maths, Finance, or other technical discipline from a RED BRICK University.
• Experience with programming/scripting languages or ability to read them.
• Knowledge of relational databases and SQL
• Some experience of programming.

This role suits someone from a software consulting / app support or implementation background that is looking to take on serious responsibility. We are looking for consultants who want to take ownership of products and take considerable responsibility and the bonus that goes with that.
My client is based in Central London
SQL, Quantitative , Implementation