I'm looking for an individual who has developed a consistent track record of success in the field of risk analytics & modelling applied to financial market environments and keen to leverage their skills in an advanced analytical modelling team designed to look at improving existing as well as proto-type solutions in the Credit Risk process.

The team consist of strong applied statisticians and risk modellers focused on looking at varying methodologies and techniques applied to Credit Risk, Scorecard and related tools and seeking an individual who can compliment the capability of the existing team.

Suitable applicants will be well versed in consumer level or corporate level markets and the inherent challenges associated with evolving risk modelling approaches for the sector with implementation capability in tools such as SAS, KMV and related tools.

An education to MSc/PhD level in statistical/econometric subjects will reflect a greater interest by the client.

An excellent opportunity to join a small team and contribute towards a growing business in the financial markets community.

Sound like you? CVs in confidence to discuss.

-MSc/PhD in Statistics/Econometrics etc

-Solid grounding in Credit Risk and Scorecard development

-Exposure to prototype model development

-Use of tools such as SAS, KMV etc

To apply: CVs to quants@atlas-fm.com

Head Hunter within the Quantitative & Risk Analytics space:

 
Roles Covered:

• Quantitative Analytics (Research, Development, Strategy – cross asset class)
• Structuring/Trading (Algorithmic Trading, Quantitative Trading, Structuring/Trading support)
• Risk Analytics (Market, Credit)
• Technology (Trading & Risk Management Systems Development)

Sectors Covered:

• Investment Banks (Trading/Structuring/Algo desks, R&D Groups, Quant/Risk Groups)
• Hedge Funds (Trading, R&D Groups, Quant/Risk Groups)
• Asset Managers (Portfolio Management/Strategy, R&D Groups, Quant/Risk Groups)
• Research Providers (Analytics & Technology, R&D Groups, Quant/Risk Groups)
• Software Vendors ((Analytics & Technology, R&D Groups, Quant/Risk Groups)