Financial Data Analyst

7 months ago

Cape Town, South Africa TalentintheCloud PTY Limited (trading as titc.io) Full time

A dynamic, fast-moving, and rapidly growing fintech lending company is seeking a Financial Data Analyst, which is committed to delivering innovative financial solutions to its clients is currently looking for a Data Analyst, this role is to assist in building and delivering a range of data-driven models across the entire credit life cycle.**Position Overview**:
As a Financial Data Analyst, you will play a crucial role in building and delivering data-driven models across our entire financial ecosystem. We are seeking a detail-oriented individual who is passionate about financial data analysis and comfortable working in a technological environment with various integrated systems.**Your daily adventures**:

- Research and analyze financial data to support statistical analysis and reporting for the business.
- Implement and maintain systems for collecting and analyzing financial intelligence data.
- Deliver actionable insights from financial data to enhance decision-making across all aspects of our commercial
operations.
- Assist in automating and improving the data management process, contributing to the development of new
financial products and services.
- Collaborate with domain experts, data scientists, and data engineers to develop analytics tools and solutions tailored to our financial needs.

**Core Financial Analytics Duties**:

- Conduct analysis on financial metrics including impairment modeling, profit and loss analysis, and financial performance tracking.
- Monitor and analyze marketing funnel KPIs related to applicant quality, conversion metrics, and channel performance.
- Monitor credit funnel outcomes and alert stakeholders to any anomalies or risks.
- Develop and maintain customer acquisition scorecards, focusing on customer churn, reborrow rates, and eligibility criteria.
- Create stimulation lists to optimize monetization of declines and drop-off applicants, and develop funding likelihood models.
- Conduct customer segmentation analysis to inform marketing strategies and identify opportunities for growth.

**Requirements**:
**What is takes to succeed**:

- Bachelors degree in Finance, Accounting, Economics, or a related field. Masters degree preferred.
- Proficiency in SQL is essential for data retrieval and manipulation.
- Experience with IFRS Impairment Modelling, Profit and Loss analysis.
- Experience with financial reporting RDBMS, such as Postgres, is preferred.
- Advanced skills in Excel, Python, R, or other statistical analysis tools.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills with the ability to work with large financial datasets.
- Excellent communication skills with the ability to present complex financial data clearly and concisely.

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