Risk Data Officer - London, United Kingdom - Société Générale

Tom O´Connor

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Tom O´Connor

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Description

Responsibilities:


Description of the Business Line or Department


The Kleinwort Hambros ("KH") Risk department are part of the second line of defence within the KH framework within an overarching view of all material risk within the business.

They have the responsibility to review, challenge and monitor the 1st line of defence (e.g. Treasury dealers, Private Bankers, etc), whilst working with the 3rd line of defence.


The role will focus on credit data (credit facility exposures and collateral) and provide cover duties that fall within both Credit Risk and Treasury Risk.


The key objectives being:

  • Oversight, understanding and analysis of credit data.
  • Maintain and develop reporting of credit data to SG via Mallie Contra tool.
  • Production of quarterly reporting on credit book & IFRS9 Provisioning.
  • Ability to extract and manipulate credit data for adhoc requests (within KH and SG Head Office).
  • Production of monthly Management Information report on the KH credit book.

Summary of the key purposes of the role


Using data sources available produce monthly Management Information pack on key elements of the credit book (exposures and collateral) and sense check as necessary before circulating.

Production of monthly and quarterly reporting of credit data to local management and SG Head Office.


Through knowledge of credit data available use skills to manipulate and produce data in order to satisfy any ad-hoc data requests / activities given by KH or SG Management.

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Summary of responsibilities


At the beginning of each month produce a detailed credit management information report on the position of the KH credit book.

This includes exposure breakdown via pool, movement over the year, collateral information (location, concentration risks etc), maturity profile and policy exceptions.

Production of credit reporting including our exposure to Real Estate Professionals and Country Risk.

Updating of various property indexing.


Via data extraction / data manipulation produce monthly, quarterly or any ad-hoc data requests in relation to credit risk for local management and SG Head Office.

Facilitate the inputs of the ECL into OSPREY for finance to record provisions.

Participate in quarterly credit risk RWA reporting to Paris via SAFIR.

Participate in system developments and UAT testing.


Profile required:


Competencies
Advanced Excel User

Experience in programme languages (eg Python, VBA ) or Power BI will be an advantage

Strong data analysis skills

Communication skills

Ability to work independently


Why join us:

People join for the impact they can have on us. They stay for the impact we have on them.

A flatter structure offers visibility and exposure beyond that of our competitors, so you know our names, and we know yours.

It's personable, human, and inspires success through passion.

By encouraging open mindedness and a willingness to share ideas, we have adapted to market changes and thrived through innovation.

Bringing words like "hard work" and "dedication" together with "community" and "respect" has enabled us to work collaboratively and build our future together.

We call this Team Spirit and it's what makes us different. It's what makes you different.


Business insight:


  • Reference:
-
23000OE5

  • Entity:
-
Kleinwort Hambros

  • Starting date:
-
2023/10/23

  • Publication date:
- **2023/08/29

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