New Leaf Search Job Reference:: CCV/J2069
Job Title:: J2069 -Senior Scorecard Analyst - UK, SE Eng / Thames Valley - Asset Finance
Location:: SE Eng
Salary:: Excellent salary plus bonus and benefits
Salary: Excellent salary plus bonus and benefits
Location: UK, SE Eng / Thames Valley
Bonuses: Excellent
Benefits: Excellent
Job Function:  Credit Risk & Collections
Vacancy Type:  Permanent
Asset Type / Sector: All Assets / Sector
Job Description : Ref: J2069 - Our client is seeking a Senior Scorecard Analyst - UK, SE Eng / Thames Valley to manage the assessment of acquisition opportunities using quantitative techniques. You will research market data, monitor a leading edge automated credit decisoning solution and ensure the ongoing development of the credit scoring engine.


Assisting in the development of market strategies and business planning.
Developing and implementing a quantitative analytics framework.
Developing and implementing quantitative analytics for all asset classes in close support of Risk Function.
Develop & test theoretical approaches to analytical challenges.
Build, test and maintain complex financial models.
Synthesise conclusions based on analysis, to be presented to SLT
Leading the sourcing of external data sets for quantitative analytics programs
Leading the sourcing of third party analytics tools as required
Act as a subject matter expert for statistical and quantitative analysis supporting other parts of the business where required
Assist in test and configuration of new valuation models and their periodic validation.
Review and formulate market data requirements and market data quality controls.
Build strong relationships with key stakeholders and departments.
Highlight any model-related valuation issues with proposed solution & suggest remedial action as necessary.
Understand and communicate the risk in the valuation process and address and document these risks from the perspective of general best practice.
Acquisition Opportunities Assessment.
Scorecard Management and development.


Strong quantitative risk modelling background.
Advanced knowledge of Microsoft Excel, particularly financial modelling.
Previous experience of SAS/ SQL would be beneficial.
Experience in developing forecasting tools and methodologies in financial markets.
Experience data analytics software.
Experience in data extraction from database applications
Previous exposure to counterparty risk, market risk, credit risk or stress testing.
Banking / Financial Services / Insurance background preferred.
Experience in practical application of statistics in financial markets.
Experience in working with Asset Finance / Private Equity KPIs and operational metrics

We strongly favour applicants with proven relevant experience in Financial Services; particularly in Asset Finance and Leasing.

Contact:: Katherine Amin
Phone:: +44 (0) 203 740 7222