- Singapore
Kerja Sepenuh Masa Data Scientist | Contract, Gaji tinggi SGD 12,000 di NEXBRIDGE RECRUITMENT PTE. LTD. - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Key Responsibilities
Review and recalibrate fraud analytics model methodologies and thresholds through back-testing, impact assessments, validation and gap analysis.
Enhance fraud-risk models by translating business, policy and scheme requirements into risk indicators, features, detection rules and analytical logic.
Develop and improve monitoring dashboards to track model performance, precision, recall, data drift and concept drift.
Assess new schemes, identify potential fraud risks and map them against existing risk detection frameworks.
Analyse complex datasets, investigate anomalies and assess data quality to support reliable model development.
Maintain clear documentation of methodologies, model changes, analytical findings and recommendations.
Collaborate with business stakeholders, data scientists and engineers to implement model enhancements and communicate findings.
Requirements & Qualifications
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related discipline.
3–5 years of relevant experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.
Strong hands-on proficiency in Python and SQL, including data extraction, transformation and exploratory analysis.
Experience developing, validating or enhancing predictive, risk-scoring, fraud-detection or anomaly-detection models.
Familiarity with feature engineering, back-testing, threshold calibration and model performance evaluation, including precision and recall.
Ability to translate business or operational requirements into analytical specifications, model logic and measurable risk indicators.
Experience working with large datasets, data quality assessment and analytical documentation.
Strong analytical, problem-solving and communication skills, with the ability to explain technical findings to non-technical stakeholders.
Preferred Skills
Experience with model monitoring, data drift, concept drift and delayed or incomplete outcome labels.
Experience building dashboards using Tableau or similar visualisation tools.
Familiarity with CI/CD, MLOps, Spark/PySpark, AWS Redshift or AWS Glue.
Knowledge of network or graph analytics for identifying related entities and fraud patterns.
Experience with claims, grants, workforce, training or regulatory datasets.
Familiarity with Singapore public-sector projects and government data-classification requirements.
Interested candidates are invited to apply via the “Apply Now” button.
We regret that only shortlisted candidates will be notified.
By submitting your personal data and CV, you consent to Nexbridge Recruitment Pte Ltd collecting, using and disclosing your personal data for recruitment purposes.
Nexbridge Recruitment Pte Ltd|26C3616
EA Personnel: Guan Jiayi|R22109847
Nexbridge Recruitment connects talented professionals with the right career opportunities. We partner with organisations across various sectors including IT, Finance, Healthcare, Engineering, and Retail, providing permanent, and executive hiring solutions.
Review and recalibrate fraud analytics model methodologies and thresholds through back-testing, impact assessments, validation and gap analysis.
Enhance fraud-risk models by translating business, policy and scheme requirements into risk indicators, features, detection rules and analytical logic.
Develop and improve monitoring dashboards to track model performance, precision, recall, data drift and concept drift.
Assess new schemes, identify potential fraud risks and map them against existing risk detection frameworks.
Analyse complex datasets, investigate anomalies and assess data quality to support reliable model development.
Maintain clear documentation of methodologies, model changes, analytical findings and recommendations.
Collaborate with business stakeholders, data scientists and engineers to implement model enhancements and communicate findings.
Requirements & Qualifications
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related discipline.
3–5 years of relevant experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.
Strong hands-on proficiency in Python and SQL, including data extraction, transformation and exploratory analysis.
Experience developing, validating or enhancing predictive, risk-scoring, fraud-detection or anomaly-detection models.
Familiarity with feature engineering, back-testing, threshold calibration and model performance evaluation, including precision and recall.
Ability to translate business or operational requirements into analytical specifications, model logic and measurable risk indicators.
Experience working with large datasets, data quality assessment and analytical documentation.
Strong analytical, problem-solving and communication skills, with the ability to explain technical findings to non-technical stakeholders.
Preferred Skills
Experience with model monitoring, data drift, concept drift and delayed or incomplete outcome labels.
Experience building dashboards using Tableau or similar visualisation tools.
Familiarity with CI/CD, MLOps, Spark/PySpark, AWS Redshift or AWS Glue.
Knowledge of network or graph analytics for identifying related entities and fraud patterns.
Experience with claims, grants, workforce, training or regulatory datasets.
Familiarity with Singapore public-sector projects and government data-classification requirements.
Interested candidates are invited to apply via the “Apply Now” button.
We regret that only shortlisted candidates will be notified.
By submitting your personal data and CV, you consent to Nexbridge Recruitment Pte Ltd collecting, using and disclosing your personal data for recruitment purposes.
Nexbridge Recruitment Pte Ltd|26C3616
EA Personnel: Guan Jiayi|R22109847
Nexbridge Recruitment connects talented professionals with the right career opportunities. We partner with organisations across various sectors including IT, Finance, Healthcare, Engineering, and Retail, providing permanent, and executive hiring solutions.
Peringatan Penting
Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.
Lebih Lanjut