Total 2 Manager lead buyer job vacancies in The Philippines

The Investment Manager, now also serving as the FP&A Lead for the Meats Division, plays a pivotal role in preparing essential financial analyses, forecasts, and valuation studies that inform strategic financial and operational decisions across the organization, with a specific focus on the Meats Division. In addition to ensuring the accuracy and reliability of financial data used in decision-making for the broader Food Group, this role now entails a concentrated responsibility for identifying and interpreting key trends and insights within the Meats Division, which could significantly impact investment performance and strategic direction. Their expanded expertise and insights are critical in guiding senior management and stakeholders, particularly in decisions related to the Meats Division, thereby enhancing the organization's ability to achieve successful
investment outcomes in this specific sector.

Financial Reporting and Analysis

• Ensures thoroughness, accuracy, and timeliness in the preparation and basic analysis of the financials of one or more divisions of Food Group to support reportorial requirements. These reports include but not limited to the following:
  •  Internal: BOD, EXCOM, MANCOM, etc.
  •  External: Banks, Government institutions, etc.
• Prepares thorough, accurate, and timely ad hoc reports requiring basic analysis and coordination with requesting departments ensuring integrity and confidentiality of data.
• Ensures thoroughness, accuracy, and timeliness of ad hoc reports requiring deeper analysis due to higher degree of complexity and confidentiality.
• Closely coordinates with different departments in the Food Group to ensure that relevant financial and operational information is reported and the integrity and confidentiality of the information is kept.

Valuation and Investment Analysis

• Builds financial models and valuation cases, and performs investment analysis for expansions, new businesses, initiatives to improve efficiency and productivity, and mergers & acquisitions.
• Provides analytical support to Executives, Business Development team, Corporate Strategy team, and other operational teams across the Food Group.
• Conducts post-mortem analysis and investment lookback after achieving milestones of investment projects.
• Prepares presentation materials and presents investment analysis and recommendations to senior management and stakeholders, and communicates key insights and findings in a clear and concise manner, ensuring that all parties have a thorough understanding of the investment strategy and potential risks and rewards.

Capital Budgeting

• Assists in the preparation/updating of the 10-Year Warchest grounded on the Food Group strategy
• Collaborates with the Country Teams in gathering inputs/updates to the long-term forecasts

FP&A Lead Specific Roles

• Supervise the FP& A Meats Analyst
• Leads the financial planning and analysis for the Meats Division, ensuring alignment with overall Food Group strategies.
• Develops and implements financial models and analyses to support strategic initiatives in the Meats Division.
• Monitors financial performance of the Meats Division, identifying trends, variances, and opportunities for improvement.
• Collaborates with F&N and Meats Division unit leaders to develop budgets, forecasts, and operational financial plans.

Others

• Provides support to CFOs, COOs, Country Directors and Controllers, Mill Managers, and other executives, particularly in running financial and scenario analyses for both tactical and strategic initiatives.
• Provides research support to Treasury, and Risk & Commodity departments, particularly in data gathering and analysis of key economic indicators that are regularly monitored by the Food Group.
• Provides cash, debt, and working capital analysis for one or more divisions of the Food Group.
• Attends meetings and discussions related to the Finance Investments function, and participate in cross-functional teams as needed to provide financial insights and recommendations to support business decisions.
• Performs other financial analysis/tasks assigned by the AVP Finance Investments/VP
• Corporate Finance as needed or as business conditions change.

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Data Management and Exploration

• Extraction, exploration and manipulation of large and complex data sets
• Designing and derivation of transformed variables for predictive modeling/advanced analytics
• Develop big data framework combining telco data with various external sources of data (digital, social, etc) to get a 360-degree view of the customer
• Help internal stakeholders in understanding, interpreting and analyzing massive data sets

Data Analytics and Modeling:

• Understand and translate business problems into data science projects.
• Perform data modeling and create sophisticated analytics models. Implement and test data modeling designs. Use advanced math and statistics expertise using massive (beyond 500GB)
• data. Use modern data analytical techniques working with information retrieval, machine learning, matrix and graph algorithms, unsupervised clustering & data mining to solve business
• problems
• Track model accuracy and effectiveness
• Identify model fine-tuning needs; Measure ROI from models developed
   

Campaign Expertise

• Translate model into results. Draws out and communicates useful insights, actionable interpretations, alternative approaches and solutions.
• Identify opportunities for the application of customer analytics techniques for the business, particularly for credit scoring.
• Use learnings from models to prioritize and sequence initiatives; Collaborate with business sponsors and different stakeholders to operationalize analytic findings.
   

Knowledge Transfer and Collaboration

• Support internal stakeholders in use of data and various analytical tools to generate and communicate insights
• Provides training, demonstration, documentation and other support to drive the change management process and expand the use of analytics throughout the organization
• Support the drive for change management process to ensure the analytical developments are adopted by relevant internal teams.
• Develop relationships with external data and analytics partners and interact as needed.
• Keep updated with new data science techniques and be extremely knowledgeable of industry standards and trends.

HIRING REQUIREMENTS

Work Experience

Minimum of three (3) years’ experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following:

• Data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
• Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams
• Worked with large, unfiltered data sets or data science research

Level of Knowledge

Has Knowledge of both structured and unstructured data.
Must possess core competencies, deep understanding and relevant experience in:

• Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);
• Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software
• Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm
• Database knowledge: skilled in structured database

Familiar with most of the following disciplines:

• Conceptual modeling: to be able to share and articulate modeling;
• Predictive modeling: most of the big data problems are towards being able to predict future outcomes;
• Hypothesis testing: being able to develop hypothesis and test them with careful experiments
• Natural Language Processing: the interactions between computer and humans
• Machine learning: using computers to improve as well as develop algorithms;
• Statistical analysis: to understand and work around possible limitations in models.

Education:

• Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.