Finance Data Analyst - Manager

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  

Financial Analyst
Asset, Investment, Risk & Compliance Data
Financial Analyst with expertise in analyzing and integrating asset, investment, risk & compliance, and transaction data with a deep understanding of financial data systems and workflows, leveraging their experience with systems like GL platforms (peoplesoft, Workday etc.) and asset management tools (Citi and Aladdin) to deliver actionable insights and improve data-driven decision-making.
Key Responsibilities

• Analyze and integrate data across asset, investment, risk & compliance, and transaction domains to provide comprehensive insights.
• Work with financial data systems, including general ledger (GL) systems and asset data management platforms.
• Analyze existing financial models against regulatory requirements and changes to identify data gaps and formulate strategy to full fill the requirements.
• Develop and maintain financial models, dashboards, and reports for asset and investment performance tracking, risk assessment, and compliance monitoring.
• Collaborate with cross-functional teams to gather, validate, and streamline financial data from multiple sources.
• Monitor and ensure data accuracy, integrity, and consistency across all systems and reports.
• Conduct trend analysis, identify anomalies, and recommend strategies to optimize asset and investment performance.
• Support risk and compliance teams by providing detailed data analysis and ensuring adherence to regulatory requirements.
• Partner with IT and operations teams to optimize data workflows and integrations between financial data systems.
  

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired

Qualifications

• Bachelors degree in Finance, Economics, Data Science, or a related field. Advanced degrees or certifications (e.g., CFA, FRM) are a plus.
• Proven experience in financial analysis with a focus on asset management, investments, risk, and compliance.
• Hands-on experience with financial data source systems, including GL systems (e.g., SAP, Oracle) and asset data management tools (e.g., Citi, Aladdin).
• Strong analytical skills and proficiency with tools such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).
• Understanding of financial instruments, portfolio management, and regulatory compliance frameworks.
• Excellent problem-solving skills with attention to detail and the ability to work with large and complex datasets.
• Strong communication skills to present findings and collaborate with stakeholders.
  

Preferred Skills

• Experience with programming languages such as Python or R for advanced data analysis.
• Knowledge of financial markets, asset classes, and risk management techniques.
• Familiarity with data governance and workflow automation tools.