Job Description

To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.

Are you someone who :

• Demonstrate a solid understanding of unsecured credit risk and related credit parameters
• Has technical and coding skills, particularly in SAS and/or SQL
• Thrive in high-pressure, fast-paced environments, maintaining a strong work ethic and focus to meet tight deadlines
• Translate business requirements into innovative, practical solutions
• Tackle business problems with data modeling and data analysis, optimizing processes and recommending strategic enhancements
• Dive deep into large datasets to uncover insights, patterns, and opportunities that address real business challenges
• Collaborate confidently with stakeholders, actively listening and engaging to ensure their needs and expectations are met
• Present insights in a clear, concise, and stakeholder-friendly format, making data accessible and actionable
• Deliver high-quality, reliable outputs within set timelines—prioritizing accuracy, clarity, and impact
• Think creatively and strategically, approaching problems with an open mind and a solution-focused mindset

You will be an ideal candidate if you:

• Have a relevant Degree in Mathematics, Statistics, Engineering, Computer Science, Econometrics, Physics or Actuarial Science, Mathematics, or equivalent
• Have a minimum of 1+ years’ Data Analytics experience
• Have deep domain knowledge with regards to financial services: Data Science and analytics
• Have experience in SAS, SQL, PowerBI