Senior Credit Risk Analyst

Connect Executive Resourcing Limited; North East; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading energy trading company in the North of England is expanding its team and seeking an experienced Credit Risk Analyst to enhance decision making and reporting capabilities. The successful candidate will be involved in Credit Risk strategy management, statistical model development, and must possess a strong academic background in numerical or statistical disciplines. Key skills include knowledge of credit risk regulation and SAS analytics. This role offers an opportunity to significantly impact the department's growth.

Qualifications

• 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.
• Experience in the domestic energy retail sector highly advantageous.

Responsibilities

• Monitor and evaluate the performance of individual policy rules.
• Develop and maintain the production of regular MI to support the monitoring and evaluation of credit risk KPIs.
• Work with internal colleagues and suppliers to implement new credit risk capabilities.

Skills

Numerical/statistical analysis

SAS analytics

Credit risk regulation knowledge

MI report production

Macro-economic analysis

Education

Numerical/statistical/science based degree

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 clients offices are based between Sunderland and Durham, but also accessible via 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.

Due to the amount of applications we receive on a daily basis unfortunately we are only able to respond to the successfully shortlisted candidates. If you have not heard from us within 3-5 days of applying for this position, your application was not successful on this occasion. We may however be able to contact you with a more relevant position at a later date.