Job Description

About the CompanyFounded in 2015 to address the unmet financing needs of SMEs, Validus is the leading all-in-one SME financing platform in Southeast Asia today, providing small businesses with faster and effortless one-stop financial solutions. Headquartered in Singapore, were present in 4 markets Indonesia, Singapore, Thailand and Vietnam.Were on a mission to drive financial inclusion and prosperity for small businesses by leveraging data, AI and strategic partnerships to drive growth financing to under-served SMEs. To date, we have disbursed over USD 3.7 billion in loans to small businesses across the region. Validus is backed by top-tier VCs and strategic investors including leading banks from Japan and Korea.In recognition of our innovation and contribution towards SME lending transformation, Validus has won several notable accolades, including 1st place (Singapore Financial Institution), 1st runner-up (Singapore FinTech), SFF Global Fintech Leader, Top 10 FinTech Leaders Awards, LinkedIn Top 15 Startups in Singapore, and more.Who we are looking forOur success is dependent on what each of us does, how we do it, and our belief that we can always do better. Validus is in rapid transformation and as we execute on our strategy, were building a strong team of passionate, capable individuals who are committed to making it easier for SMEs to manage and grow their businesses. We welcome you to be a part of this exciting journey, as we transform our #1 SME growth financing platform into Southeast Asias first SME-focused, full-suite financial services provider.Key Responsibilities

• Conduct basic exploratory data analysis (EDA) on our lending portfolio dataset.
• Extract and clean data from various sources, ensuring data accuracy and integrity.
• Assist in creating reports and actionable dashboards using MS Office tools, primarily MS Excel and Power BI, and Google Sheet.
• Assist the data team in identify data quality issues, anomalies, and trends.
• Support data-driven decision-making by providing insights and visualizations derived from the analysis.
• Undertake specific predefined sub-tasks in data science that contribute to the predictive modelling work for the credit underwriting algorithm build or monitoring.

Requirements

• Currently pursuing or having pursued a degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Strong analytical skills and the ability to work with large datasets.
• Proficient in MS Office tools, including Excel, PowerPoint, and Word.
• Familiarity with data extraction, cleaning, and manipulation techniques.
• Knowledge of basic programming concepts, preferably in Python, will be considered a plus.
• Excellent attention to detail and the ability to work independently with minimal supervision.
• Effective communication skills, both written and verbal.
• Self-motivated with a passion for data analysis and problem-solving.
• Prior experience or coursework in data analytics or related fields will be advantageous.
• Familiarity with Power BI or other data visualization tools is a plus, but not mandatory.

Application InstructionsPlease apply for this position by emailing your CV to .kindly note that only shortlisted candidates will be notified.

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