Junior Financial Analyst

Junior Financial Analyst (Entry Level: 01 Year)
Focus: Supporting Automation in Data Extraction and Classification
Key Responsibilities:
• Data Understanding and Analysis: Review and analyze structured and unstructured
data sources, gaining insights into financial statements, contracts, and market data.
Identify patterns and relationships to support automation projects.
• Topic Modeling for Automation: Collaborate on the development of data models
and topic categorization frameworks to improve the efficiency of automated data
extraction and classification processes.
• Support Automation Efforts: Partner with senior analysts and technical teams to
ensure the data models and classifications align with automation objectives. Provide
business-level insights to guide automation workflows.
• Model Validation: Evaluate the accuracy and relevance of data models and
classifications by comparing automated results with manually curated benchmarks.
Proactively identify gaps or inconsistencies.
• Customized Reporting: Assist in generating tailored reports and summaries based on
insights derived from automated systems, ensuring clarity and accuracy for internal
and client use.
• Collaboration and Documentation: Work closely with cross-functional teams to
document data insights, create process workflows, and refine requirements for
automated solutions.
Skills and Qualifications:
• Strong analytical skills and ability to interpret financial and market data.
• Familiarity with financial concepts, including income statements, balance sheets, cash
flows, and financial ratios.
• Excellent communication skills to articulate data insights and automation
requirements to diverse audiences.
• Proficiency in Excel and data visualization tools; familiarity with database concepts is
a plus.
• Organizational skills to manage multiple datasets and projects simultaneously.
Preferred Background:
• Masters degree in Finance, Economics, Business, or a related field.
• Basic knowledge of automation concepts, with a focus on business-level application
(no coding required).
• Interest in leveraging data to drive process improvements and efficiencies.
This role is perfect for candidates eager to work at the intersection of financial analysis and
automation, contributing to the design and validation of data-driven solutions in a non-coding
capacity.