Job Vacancy for Mathematics, Science, Finance, Economics Graduates at Shell

Overview:

Shell is hiring an experienced Operations Lead – Market Risk at their Bangalore location. The individual reports to the Operations Manager (OM) and works closely with stakeholders globally across Market Risk (Advisory, Operations, FO), CRMS, Credit Risk, Trading Commercial and Operations teams, Finance in the Business, IT, Technical & Derivative Accounting and TSA and R&A teams.

The complete details of this job are as follows:

What will you be doing:

Own & operate financial/SOX controls including, but not limited to existing controls as well as new controls as part of Project Arc

Ideate, propose changes to the design and control descriptons working with GRA

Propose and design fit-for-purpose changes and operationalize reporting for non-linear trading instruments

Utilise business knowledge and understanding of the reporting landscape to scope out and test any planned changes to reporting and map out changes to operational aspects of projects including the currently ongoing Project arc, QlikSense reporting requirements

Understand data flow and feeder process inputs/dependencies to map out relevant reporting process that ensures that exposure, trading risks, FEV and returns are fully understood, captured and challenged where necessary.

Develop Standard operating procedures (SOPs) which allow Market Risk LNG to deliver with a word class risk reporting framework.

Developing deep business knowledge to document step-in and step-out procedures by the  understanding of how potential improvements, new business / risk models or system changes will impact Market Risk Operation processes

Establish, record and document a fit for purpose controls framework to manage Risk and reporting for Market Risk Operations as deemed necessary

Communicate effectiveness of operational processes and fincaccial controls by engaging with auditors discussions on evidencing and proof points

Providing deep knowledge to FO Market Risk operations teams to appropriately document and identify non-standard process requirements

Attesting and structuring established or new controls processes appropriately within Market Risk Operations to ensure successful SOX and GRA attestation for activities

Ideate complex improvements, influence business partners to address feeder process issues as well as eliminate manual workarounds, process step-outs, and leveraging technology

Qualifications for this Job:

A degree holder in Mathematics, Science, Finance or Economics is preferred

6+ years’ work experience in various financial positions, with experience of applying Trading risk and Financial management, process and controls principles in practice

Strong understanding of options/non-linear instruments and their payoffs, risk-return, risks not captured in modelling

Should be well-versed in sense-checking, updating inputs for options valuations including prices, volatilities’ surfaces and skews as well as financial/risk models

Previous experience in deigning, operating and/or owing financial controls and/or other LOD2 controls

Self motivated to search for information from within complex data and processes, bring in best practices from other parts of risk to make processes, checks and controls more effective

Strong skills to influence and communicate a clear train of thought within the organization

Understanding of Market Risk principles and working experience on a risk management desk is a prerequisite

Ability to understand impact of changing risk environment on trading business and financial reporting

Understanding of Trading Business along with their integration between ERPs and different ETRMS like Dex, Endur & Align additionally visualization tools such as Power BI, Qlik, Spotfire etc.

The role involves extensive interactions with various stakeholders and therefore requires a combination of intellect, maturity, the strength of character, and an ability to earn respect

Candidate should have a clear understanding of the SLMT business landscape and the trading relationship between entities.

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