Assistant Manager, Quantitative Analyst: Commodity Risk Management

Job Title: Assistant Manager - Quantitative Analyst Commodity Risk Management

Location: Bangalore

ABOUT UNILEVER:

Be part of the world's most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life - giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you'll be surrounded by inspiring leaders and supportive peers. Among them, you'll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we'll work to help you become a better you.

ABOUT BANGALORE HUB:

Bangalore Hub is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. Bangalore Hub serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

Main Job Purpose:

Support the Commodity Risk Management team with a quantitative market view and hedge strategy generation. This includes the collection and preparation of large market and other data sets, the analysis of data by use of statistical models, and the communication of price trends and market risks to CRM and other stakeholders. This role will be instrumental in complementing CRM's existing fundamental market analysis.

Key Responsibilities:

• Cooperate with the CRM team in acquiring relevant data for purpose-driven research maintain and prepare a database for repetitive analysis and monthly price forecasts.

• Identify data trends, outliers, and patterns, and communicate to CRM team to build and modify hedge strategies.

• Drive development of risk analysis tools to define and standardize risk metrics across the commodity portfolio.

• Collaborate with CRM team and cross-functional stakeholders such as procurement and middle office to provide data driven solutions to the benefit of the whole company.

Key Challenges:

• Relay complex information of your research and its impact on market outlook and risk profile to key stakeholders in an easy-to-understand format.

• Build data collection and analysis procedures in a standardized fashion to allow for frequent and automated updates ability to leverage across the commodities portfolio when possible. The organization of data collection from several different sources will require organizational diligence.

• Search for opportunities to expand the scope of CRM both in terms of tools used and hedge spend. This will involve a commitment to a high degree of diligence and research.

Professional Skills:

• In-depth knowledge of statistical models, their application, and experience as data analyst. Knowledge of market mechanics in commodity or other financial markets is an advantage.

• Clear communication skills with ability to effectively communicate complex topics to technical and non-technical stakeholders.

• Effective use of Python as programming language

Experience Required:

• University degree in computer science, mathematics, statistics

• Proven experience as a data analyst or similar role, preferable related to commodity markets and/or macroeconomics

• Experience with collecting and preparing large dataset from various sources (back office systems, excel, etc.)

• Knowledge of statistical models and data analysis techniques

• Experience in coding languages such as Python.

• At least 5 years experience as a data analyst

• Ability to communicate in a simple, short, and understandable way with all corporate stakeholders.

Travel:

Limited travel may be required.

At HUL, we believe that every individual irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes use your energy to make the world a better place. As you work to make a real impact on the business and the world, we'll work to help you become a better you!

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