Job Description:

Introduction:
IQ Regulatory and Compliance, Analytics and Sustainability (RAS) is a specialist division within IQ. Our specialist service offering includes the practical addressing of regulatory and compliance requirements like Basel II and Solvency / SAM, and the analytical build of risk and financial models. The role below talks specifically to the need for a quantitative risk consultant.

Description
Job Description:

The role of this analyst is to utilise his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of the work is typically within the banking and insurance industries and more specifically within the credit and operational risk domains, however the incumbent should be comfortable applying their quantitative skills to other industries and domains as and when the role requires.
The role includes the use of quantitative and qualitative analysis techniques and, depending on specific projects will most likely require familiarity with international accounting standards, Basel II capital requirements, credit risk modeling, operational risk scenario and loss data modeling, rating criteria and stress-test modeling, on-going monitoring of rating models, creation of reports and dashboards, and communication of findings to clients.

Duties and Responsibilities:
Development, implementation and optimisation of credit and operational risk models (Basel II regulatory capital models, impairments);
Development and implementation of various quantitative models for clients in the banking and insurance industries;
Credit risk and operational risk evaluation, including qualitative and quantitative approaches, as well as modeling, analytics, and forecasting;
Data mining, scrubbing, cleaning, mapping and analysis using SAS, SQL or VBA skills;
Compilation of model build and business requirement documentation;
Creation of MIS dashboards; and
Development and implementation of solutions to monitor the performance of existing models.
Innovative first-principles model building and automation of processes

Profile
Qualifications and Experience:
Completed Mathematical related Degree
Two-five years quantitative analysis or modeling experience
Competent in SAS, SQL or VBA
Ideally a Credit or Operational Risk, risk background
Banking exposure preferable

Knowledge:
Building credit risk scorecards
Basel II Regulatory credit and operational risk capital models
Building of fraud models
Solvency II implementation
Understanding of credit life cycle
Banking knowledge and exposure
Market Risk and Financial Modelling knowledge
Data mining and analytics / Statistics
General business and process knowledge

Competencies:
Strong verbal and written communication skills
Strong time management, organizational and planning skills; ability to multi-task effectively
Strong creative solution and analytical skills
Strong interpersonal skills; ability to partner with internal partners and leverage internal resources
Leadership skills - strategic thinker, people management
Flexible and open to change
Deadline driven
Solution orientated
Ability to conduct presentations and training sessions
Ability to adapt to different client environments, quickly learn new methodologies and practices
Must be able to document methodologies and communicate and explain concepts clearly to stakeholders
Commitment to quality
Commitment to customer satisfaction
Commitment to integrity, authenticity and organisational values