Quantitative Developer – Adaptiv Cambridge recruitment

Job ID: 18347

Position Description:
In today's financial markets, trade-processing lifecycles undergo constant change. From pre-trade analysis to post-trade risk management, settlement and regulatory compliance, it has never been more important to be in control. SunGard provides solutions for today's investment banking. Whether it be trading high volumes or creating complex structures, managing your exposures or operational control, there's a SunGard solution for it.

SunGard's Capital Markets and Investment Banking solutions:

• Support cross-asset trading and trading strategies with Front Arena.
• Support enterprise-wide, market and credit risk management with Adaptiv.
• Nine trillion in securities lending is managed on SunGard's capital markets solutions .
• Twelve of the world's top 25 banks use SunGard's Adaptiv.
The role is a Quantitative Developer within our Adaptiv Technology team developing the Adaptiv Analytics product. Adaptiv Analytics is a highly engineered product capable of conducting complex financial risk calculations. Within Adaptiv and beyond it is positioned as SunGard's primary risk calculation engine.

• Developing financial models. Researching and innovating new mathematical models i) for the efficient pricing of complex financial products, ii) for the evolution of future market and credit events, iii) for regulatory calculations and iv) for the calibration of risk models
• Software development. Programming in C# .NET the mathematical models the individual has developed. This must be done with mathematical accuracy and considering system performance as critical. Code quality must be exceptional in technical design and clarity.
• Documentation. Creating clear and concise documentation of both the mathematical finance theory and software implementation details.
• Model validation. Verifying the new and existing models are correct and appropriate for their intended use.
• Software testing. Large scale system testing as well as the development of regression tests for all newly coded models and algorithms.
• Specification writing. Authoring functional requirements, functional design and technical design specifications.
• Project management. Managing the whole product life-cycle from defining the functional requirements through development through testing and finally documentation and release.
• Client support. Providing advice, demonstrations and support to Clients in both pre and post-sales situations.
• Complex quantitative support Providing internal support function on quantitative and finance questions that other teams in the group cannot answer.
• Knowledge of algorithms such as numerical optimization (e.g. simplex, quasi-Newton, sequential quadratic programming), including performance characteristics and applicability, is desirable.

Position Requirements:
Minimum Requirements:

History of academic excellence.
Bachelor's degree in a mathematically subject from a premier University.
Preferred PhD will large mathematically modelling content.

• Proven experience as quantitative analyst
• Proven software development experience
• Proven mathematical modelling experience
• Substantial experience in financial industry
• Good market / credit risk experience
• Strong C++
• Strong .NET
• Experience of one or a mixture of C++ interop, COM interop, P/Invoke
• Proven experience in software design
• Experience writing and reviewing specifications
• Evidence of ability to conduct solo research (e.g. significant MSc research or PhD)
• Proven experience with Excel-VBA
• Experience on a large scale 'enterprise' risk software product or suite of products