Trading Controller

Our Accounting team have an opportunity for a qualified accountant to join in the role of Trade Accountant to support the operation of SEFE Market & Trading's (SM&T's) sub-group financial netting processes and controls under IFRS.

WHAT YOU WILL DO

Using your technical ability, you will

. For a specific set of business units, ensure monthly trading balances, as reported in SAP ERP comply with both IFRS and SEFE Trading Group Accounting Polices

. Reconcile legal entity results in SAP ERP, for at least one trading desk and/or legal entity, to Product Control monthly estimates, investigating all material differences. Working with senior members of the Team, take appropriate action to ensure reporting obligations are met

. Take ownership of the monthly preparation of key financial data and business commentary for a specific set of business units, specifically for balance sheet results at entity level, and presentation across the team

. Together with more senior members in the team, work closely with ultimate parent company teams to implement and maintain any required changes and updates to the local and parent company chart of accounts, as operated in SAP for trading balances

. Contribute to overall data management, ensuring that all logic, mapping tables and GL assignments are actively maintained and validated within SM&T's ETRM to SAP interface layer, I&R. Support improvement projects to improve and simplify such logic, in line with team and departments objectives.

WHAT YOU WILL BRING

You will be a qualified chartered accountant, audit trained with hands-on experience of working with a physical commodity. You will demonstrate an understanding of derivate financial netting, with an understanding of both the IFRS rules followed and its application challenges, and have experience substantiating foreign currency transactions in SAP, including realised and unrealised gains and losses on revaluation and cash clearing.

You will bring a strong working knowledge of MS Excel and be at ease manipulating large data sets.