- Outram Central Region (Singapore) Singapore
Full Time Data Scientist – Fraud Analytics - Risk Modelling Jobs, Salary up to SGD 12,000 in ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD. Central Region (Singapore) - Maukerja
Data Scientist – Fraud Analytics - Risk Modelling
ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.
Share
Save
Working Location
Job Description
Responsibilities
Role Overview
We are seeking an experienced
Mid to Senior Level Data Scientist
to enhance and maintain fraud detection and risk analytics models. The role involves model validation, threshold optimisation, performance monitoring and developing analytical solutions to identify potential fraud risks across public training grant schemes.
Key Responsibilities
Review, validate and optimise fraud detection models, including methodology assessments, backtesting, threshold calibration and performance evaluation.
Develop and enhance fraud-risk indicators, scoring models, analytical rules and features based on business and operational requirements.
Build and maintain technical dashboards to monitor model performance, including
precision, recall, data drift, concept drift and alert thresholds
.
Analyse new grant schemes, eligibility criteria and claims processes to identify potential fraud risks and recommend appropriate detection approaches.
Perform exploratory data analysis, data validation, anomaly investigation and impact assessments using large-scale datasets.
Collaborate with business stakeholders, data engineers and management to translate requirements into analytical solutions.
Maintain reproducible analytical workflows, model documentation, validation reports and knowledge transfer materials.
Requirements
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
Min 4 years of experience
in data science, advanced analytics, fraud/risk modelling or model validation.
Strong hands-on proficiency in
Python and SQL
for data analysis, transformation and model development.
Experience developing, validating or enhancing
predictive models, risk-scoring models, fraud detection or anomaly detection solutions
.
Strong understanding of
feature engineering, backtesting, threshold calibration and model performance metrics
, including precision and recall.
Experience working with large, complex datasets, including data quality assessment, anomaly detection and data lineage.
Ability to translate business requirements into analytical specifications, model logic and measurable risk indicators.
Strong analytical, problem-solving, documentation and stakeholder communication skills.
Exposure to workforce, training grants, claims, regulatory datasets or Singapore public-sector projects.
Good to Have
Experience handling
imbalanced datasets, delayed outcome labels and fraud/risk model monitoring
.
Knowledge of
data drift, concept drift and production model performance monitoring
.
Experience with
Tableau
or equivalent dashboarding tools.
Familiarity with
CI/CD, MLOps and model deployment
.
Experience with
Spark, PySpark, AWS Redshift and AWS Glue
.
Knowledge of
graph/network analytics
for identifying suspicious relationships or coordinated fraud patterns.
Astek has been providing IT and engineering solutions for some of the world’s largest industrial and services groups for over 25 years.
We support our clients with the creation and development of their new products in four main areas of expertise:
Some of our clients include BNP Paribas, CA-CIB, Societe Generale, Amadeus, Air France, Alstom, Airbus, Thales, Safran, Faurecia, Valeo, Renault, Jaguar, PSA, BMW, Daimler, Schneider Electric, Areva, ENGIE, Veolia, Total…
Our team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact.
To join our community!
*************
We are seeking an experienced
Mid to Senior Level Data Scientist
to enhance and maintain fraud detection and risk analytics models. The role involves model validation, threshold optimisation, performance monitoring and developing analytical solutions to identify potential fraud risks across public training grant schemes.
Key Responsibilities
Review, validate and optimise fraud detection models, including methodology assessments, backtesting, threshold calibration and performance evaluation.
Develop and enhance fraud-risk indicators, scoring models, analytical rules and features based on business and operational requirements.
Build and maintain technical dashboards to monitor model performance, including
precision, recall, data drift, concept drift and alert thresholds
.
Analyse new grant schemes, eligibility criteria and claims processes to identify potential fraud risks and recommend appropriate detection approaches.
Perform exploratory data analysis, data validation, anomaly investigation and impact assessments using large-scale datasets.
Collaborate with business stakeholders, data engineers and management to translate requirements into analytical solutions.
Maintain reproducible analytical workflows, model documentation, validation reports and knowledge transfer materials.
Requirements
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
Min 4 years of experience
in data science, advanced analytics, fraud/risk modelling or model validation.
Strong hands-on proficiency in
Python and SQL
for data analysis, transformation and model development.
Experience developing, validating or enhancing
predictive models, risk-scoring models, fraud detection or anomaly detection solutions
.
Strong understanding of
feature engineering, backtesting, threshold calibration and model performance metrics
, including precision and recall.
Experience working with large, complex datasets, including data quality assessment, anomaly detection and data lineage.
Ability to translate business requirements into analytical specifications, model logic and measurable risk indicators.
Strong analytical, problem-solving, documentation and stakeholder communication skills.
Exposure to workforce, training grants, claims, regulatory datasets or Singapore public-sector projects.
Good to Have
Experience handling
imbalanced datasets, delayed outcome labels and fraud/risk model monitoring
.
Knowledge of
data drift, concept drift and production model performance monitoring
.
Experience with
Tableau
or equivalent dashboarding tools.
Familiarity with
CI/CD, MLOps and model deployment
.
Experience with
Spark, PySpark, AWS Redshift and AWS Glue
.
Knowledge of
graph/network analytics
for identifying suspicious relationships or coordinated fraud patterns.
Astek has been providing IT and engineering solutions for some of the world’s largest industrial and services groups for over 25 years.
We support our clients with the creation and development of their new products in four main areas of expertise:
- Information technology and systems (IT & IS);
- Industrial engineering and product development;
- Internet of Things (IoT);
- Digital, web and mobile solutions.
Some of our clients include BNP Paribas, CA-CIB, Societe Generale, Amadeus, Air France, Alstom, Airbus, Thales, Safran, Faurecia, Valeo, Renault, Jaguar, PSA, BMW, Daimler, Schneider Electric, Areva, ENGIE, Veolia, Total…
Our team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact.
To join our community!
*************
Important Information
Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.
Learn More