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The Bunge Mathematical Institute is a division of Bunge Limited (NYSE: BG), a leading global food and agribusiness company founded in 1818 and headquartered in New York. Bunge employs more than 20,000 people in more than 30 countries.

The BMI is helping Bunge meet the business challenges of the 21st century. Founded in Warsaw in 2006, the BMI has assembled leading mathematical minds to innovate a new level of quantitative analysis for today's increasingly sophisticated global markets.

The BMI is Bunge's global corporate center of excellence in quantitative analysis and market intelligence. Its team of world-class mathematicians, computer scientists and statisticians use advanced modeling techniques to develop business solutions that help Bunge deepen its understanding of markets, manage commodities risk, increase the efficiency of its worldwide operations and improve performance along the food and agribusiness value chain.

Learn more about Bunge Corporate

Job description

Successful candidate will work in a team providing technical and organizational leadership to all mathematicians across projects. He/she will also be responsible for collaborating with customers within a BMI team environment to understand customer problem domains and guide solution concepts, translating customer objectives into model requirements, defining "real world" problems abstractly in terms of fundamental structures and computing properties, designing algorithmic solutions and ensuring the quality of mathematical solutions.

The perfect candidate should have:

• Advanced degree in quantitative disciplines like Physics, Statistics or Mathematics OR PhD in Finance/Economics with undergraduate in Physics, Statistics and/or Mathematics
• Specific work experience as either a project leader or #2 leader on at least one complex modeling assignment covering all phases of the work from inception (objectives, requirements, specifications) through development, delivery and post-delivery testing
• Broad understanding of statistical techniques and algorithmic problem types
• Familiarity with statistical methods and the following: data mining, non-parametric modeling, heuristic methods simulated annealing, neural networks, genetic algorithms, fuzzy logic
• Experience working in teams with domain knowledge experts, customer users, other mathematicians and programmers
• Excellent oral & written communication and presentation skills in the English

• Identify appropriate individual algorithms, integrate those algorithms into useful working models and organize a disciplined approach to the development process.
• Collaborate with BMI software engineers on cost-effective algorithmic solutions
• Provide technical leadership to all mathematicians on all projects via direct team participation, mentoring and or peer reviews
• Translate customer objectives into model requirements
• serves as a mentor and work leader to the other mathematicians who are talented and inexperienced

_Contact_:
We offer you the opportunity to be a part of high-performance and innovative organization within a global setting. Our employees are motivated, self-driven, goal-oriented and rewarded accordingly.

Please apply for this job via rekrutacja@bunge.pl using reference number SQA_01

Make sure you insert the following statement along with your CV:

I hereby authorize you to process my personal data included in my job application for the needs of the recruitment process (in accordance with the Personnel Protection Act of 29.08.1997 no 133 position 883).