Senior Credit Risk Analyst

Connect Executive Resourcing Limited; North East; On-site; GBP 40,000 - 60,000; Full time

Job summary

Connect Executive Resourcing Limited is seeking an experienced Credit Risk Analyst to enhance decision-making and improve credit risk capabilities. You will contribute significantly to the growth of the Credit Risk department, utilizing your analytical skills to monitor credit risk performance and develop strategies.

The role focuses on implementing new data sources and analytical methodologies, making it essential that candidates have a strong background in credit risk regulations and SAS analytics. Applications are encouraged from individuals with energy sector experience.

Qualifications

• Proven experience in risk acquisition or portfolio risk.
• Familiarity with credit risk strategy management and data analytics.
• Ability to develop and maintain performance reporting and credit loss forecasts.

Responsibilities

• Monitor and evaluate the performance of credit risk policy rules and scorecards.
• Develop a production process for credit loss forecasts.
• Work with suppliers to implement new credit risk capabilities.

Skills

Strong academic background with a numerical/statistical/science based degree

Detailed knowledge of Credit risk regulation, governance and compliance

Experience with SAS analytics

Risk acquisition, capital impairment or portfolio risk experience

MI report production and development experience

Macro‑economic analysis and statistical model development experience

Experience in the domestic energy retail sector

Education

Numerical/statistical/science based degree

Tools

SAS analytics

Job description

A large energy trading business in the North of England is expanding their Credit Risk department and is looking to hire an experienced Credit Risk Analyst to drive innovation and continuous improvement in their decision making capabilities, analysis and reporting.

You will play a key role in the growth of the department and business customer base as a whole becoming involved in Credit Risk strategy management, statistical model development, macro-economic analysis and implementation of new credit risk capabilities.

My client’s offices are based between Sunderland and Durham, but also accessible by car from Newcastle‑Upon‑Tyne and Middlesbrough.

Key responsibilities will include:

• Monitor and evaluate the performance of individual policy rules, cut-offs, scorecards and champion challenger tests, initiating proposals where necessary to roll‑out existing challengers or to implement new challengers.
• Monitor operational drivers of credit risk performance, initiating proposals where necessary to optimise the balance between manual and automated decisioning.
• Develop and maintain the production of regular MI to support the monitoring and evaluation of credit risk KPIs, key drivers and performance of credit risk strategies.
• Develop and maintain the production of credit loss forecasts.
• Identify the need to change credit strategies, systems functionality, operational processes and data acquisition and deployment (through data analytics and through discussion with colleagues and suppliers).
• Develop proposals, based largely upon data analytics to model the long‑term value of the change.
• Estimating and delivering credit loss assumptions for input into proposals initiated by other areas of the business (e.g., product development proposals, marketing campaign proposals).
• The design and maintenance of data tables in warehouses and marts to maximise their re-use potential across disparate analytics projects, minimising analytics turnaround times and maximising productive capacity.
• Work with internal colleagues and with suppliers to define requirements, procure, build, test and implement new credit risk capabilities such as new data sources, new scores, new systems and operational processes.

Ideal qualifications, skill sets and experience:

• Strong academic background with a numerical/statistical/science based degree.
• Detailed knowledge of Credit risk regulation, governance and compliance.
• Experience with SAS analytics is essential.
• Risk acquisition, capital impairment or portfolio risk experience ideal.
• MI report production and development experience.
• Macro‑economic analysis and statistical model development experience ideal.
• Experience in the domestic energy retail sector highly advantageous.

If you have the relevant energy background or career experience skill sets, and would like to know more about the above opportunity, then please apply now.