Finance Data Scientist - Business System Analyst

Overview:

We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.

The Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management, and the entire suite of digital solutions for the Finance Business line. The Digital Implementation Division is responsible for providing program management services for implementation, rollout, and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA), and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with a key focus on Financial Applications functional experience and IT technical background.

The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation, and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post-implementation support.

Key Responsibilities:

• Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management, and Investor Relations.
• Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI use cases; Perform option evaluation; Provide support for implementation.
• Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.
• Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.
• Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
• Communicate technical concepts and findings effectively to both technical and non-technical audiences.
• Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
• Organize and facilitate workshops with different users and consultants to document processes and drive transformation.
• Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups.
• Maintain, support, and optimize digital solutions.

Minimum Requirements:

• Hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is desirable but not required.
• Have six to eight years’ experience in Data Science, Artificial Intelligence, and other related advanced analytics implementation of financial systems. Expertise in Python programming and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.
• Demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.
• Have project experience implementing AI solutions and be able to analyze the business requirements, evaluate and recommend technical options, and support the execution process for implementing such solutions. Ability to get involved in hands-on technical solution management is essential.

Benefits:

• Compelling remuneration package.
• Permanent Employment on an Indefinite Term Employment Agreement.
• The company's Incentive Plan: This is a broad-based annual and performance-based incentive plan based on company and individual performance, base salary, and length of service during the plan year.
• Annual repatriation travel allowance: An annual cash payment that more than covers airfare costs to your home country.
• Annual vacation: Up to 38 calendar days of paid leave each year, plus between 9 and 11 public holidays.
• Severance award: Payable by the company to employees who leave after two years or more of satisfactory service.
• Education Assistance Plan: Eligible for the company’s excellent education assistance plan for dependent children.
• Quality housing in company communities or a rental assistance allowance.
• Free medical care via our subsidiary medical network or contracted hospitals and clinics.
• Free access to recreational facilities including private beaches, tennis courts, and swimming pools.
• Free scheduled transportation within camp areas and to work locations.
• Voluntary Group Life and Accident Insurance program.
• Short-term income benefits in the event of illness or injury.
• Death Benefit: Ex-gratia death benefit equal to base pay in case of death from an industrial accident.
• Career development opportunities for professional growth.

BH4619

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