Position Summary
Joining Nestlé means you are joining the largest food and Beverage Company in the world.  At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.
This position gathers and interprets financial information effectively and forms data into meaningful and concise analyses while considering a broad range of interdependent issues. Identifies areas for change, take decisions based on given autonomy agreed in the standard routines and makes data-driven recommendations about credit limit and risk category. Responsible for reviewing credit block orders and support the Credit Management in final decision
A day in the life of...
Review and propose Credit parameters for calculation of credit limit and risk category taking in account various sources of financial data.
Responsible to run credit simulations when required to identify area of change with the algorithm or 
Credit Check filters
Review and propose Credit limit and Risk Category by customer based on data risk modeling results.
Review and escalate as needed to Credit Management the approval for release/reject of sales order blocked due to credit issues.
Review and escalate as needed to Customer Contact & Issue Resolution when the credit order block requires a customer contact.
Responsible for Operational Credit Block removal after approval by Credit Management.
Responsible for reviewing parameters and relative weight affecting the calculation of credit limit and risk category as well as credit filters/checks and tolerance to be used by customer.
Performs in a customer service capacity by answering credit inquiries questions while acting as a liaison to sales, customer service and the CoS team.
Prepare and assist in the preparation of required reports for management.
Maintain a minimum of past due accounts by working with Collection Specialists.
Provides ongoing support to Collection Specialists in alignment with SOP in place
What will make you successful
1-2 years of experience providing strong attention to detail and results focus.
Experience with Credit & Risk modeling supporting Credit Management decisions
Proficiency in English.
Good analytical skills.