Overview
We're looking for candidates with strong analytical skills and hands-on experience working with financial datasets. You will be responsible for monitoring portfolio health, performing deep-dive exploration and analysis to identify risk drivers and improvements in our existing framework, and translating findings into actionable credit decisions. You will partner with business, product, and engineering teams to solve some of the most challenging problems in lending while also continuously improving portfolio quality by balancing risk control with growth opportunities. You will be embedded in a fast-paced environment, working within a strong team of data scientists with access to a robust data infrastructure. Responsibilities Monitor portfolio risk metrics on a regular basis and proactively flag anomalies or emerging trends Perform root cause analysis when risk indicators deteriorate to pin
Full job description
Full job description
We're looking for candidates with strong analytical skills and hands-on experience working with financial datasets. You will be responsible for monitoring portfolio health, performing deep-dive exploration and analysis to identify risk drivers and improvements in our existing framework, and translating findings into actionable credit decisions. You will partner with business, product, and engineering teams to solve some of the most challenging problems in lending while also continuously improving portfolio quality by balancing risk control with growth opportunities. You will be embedded in a fast-paced environment, working within a strong team of data scientists with access to a robust data infrastructure.
Responsibilities
- Monitor portfolio risk metrics on a regular basis and proactively flag anomalies or emerging trends
- Perform root cause analysis when risk indicators deteriorate to pinpoint what's driving the change, such as identifying suspicious behavioral patterns
- Translate findings into concrete recommendations and implement adjustments as needed
- Build and maintain SQL-based features, analyses, and monitoring dashboards to support ongoing risk surveillance
- Perform occasional model evaluation to support credit scoring improvements
Qualifications and requirements
- Fresh Graduate/Bachelor's degree in an analytical or quantitative discipline (e.g. math, statistics, engineering, computer science), however other disciplines will be considered
- Experienced in using statistical computer languages such as Python, SQL, and MS Excel
- Have good communication skills and able to work together in a team
- Excellent problem-solving skills and have the drive to learn and master new technologies and techniques
- Willingness to learn new skills independently and have a strong sense of project ownership
- Not afraid to get your hands dirty exploring data, investigating anomalies, and building SQL-based analyses
- Comfortable working with large tabular datasets to detect trends and anomalies, and communicating findings as actionable recommendations.
- Exposure to credit scoring modelling concepts is a plus.
Requirements & qualifications
- Fresh Graduate/Bachelor's degree in an analytical or quantitative discipline (e.g. math, statistics, engineering, computer science), however other disciplines will be considered
- Experienced in using statistical computer languages such as Python, SQL, and MS Excel
- Have good communication skills and able to work together in a team
- Excellent problem-solving skills and have the drive to learn and master new technologies and techniques
- Willingness to learn new skills independently and have a strong sense of project ownership
- Not afraid to get your hands dirty exploring data, investigating anomalies, and building SQL-based analyses
- Comfortable working with large tabular datasets to detect trends and anomalies, and communicating findings as actionable recommendations.
- Exposure to credit scoring modelling concepts is a plus.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered from the employer’s public SmartRecruiters Posting API. The public detail endpoint was fetched and its job-ad sections were normalized into a complete, safe candidate-facing description.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Cermaticom Careers ↗Browse current Job and Scholarship listings from Cermaticom Careers →
