Total 5 credit controller job vacancies in D19 Serangoon Garden, Hougang, Sengkang, Punggol

Job Description

· Control and manage incoming and outgoing documents

· Responsible for full inventory of documentation & its easy retrieval

· Review and maintain the accuracy of records, updating where necessary to ensure they are up to date.

· Communication with relevant persons who need to submit documents

· Coordinate with project team to ensure compliance of all documentation

Skills / Qualifications

· Candidate must possess at least a Nitec in Business Studies / Engineering preferred

· At least 1 year of relevant experience in a construction company.

· Detail-oriented and organised

· Highly motivated, well organized, resourceful and proactive

· Possess good interpersonal skills with sound written and oral communication skills

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description

• Participate in the implementation of credit risk management framework including underwriting, credit limit management and risk based pricing.
• Monitor the performance of risk indicators to finetune and enhance credit risk management policy by conducting data analysis.
• Responsible for evaluating the credit worthiness of new credit applicants and monitoring the ongoing financial performance of existing credit customers.
• Responsible for risk model evaluation and continuously monitor its performance to ensure the stability and accuracy of risk strategy.
• Work closely with cross-functional teams such as anti-fraud, collection and modeling team to optimize end to end risk processes.
• Collaborate with Business teams, Product teams, Engineering teams and Ops teams to balance risk management targets with business targets.

Requirement

• Bachelor Degree and above in Finance, Computer Science, Statistics, Engineering, Economics or other relevant fields.
• Minimum 3 years experience in the risk management area specializes in credit risk management in a sound financial institution.
• Proficiency in SQL or Python.
• Experience in underwriting policy, credit limit and portfolio management and good awareness of anti-fraud and modeling is preferred.
• Strong analytical thinking and problem solving skills.
• Excellent communication and stakeholder management skills.

Kindly note that you can only be considered for one role at a time with any of the companies within our Group. If you have applied for other jobs with the Group, you will be considered for roles in the order of your application.

Summary:

• Basic salary up to $3600
• Performance bonus (up to 3 months)
• Location: Newton
• 5 days work week @ 8.30am - 5.30pm
• Familiar with hire purchase operations

Key Responsibilities:

• Make calls to collect outstanding payments
• Ensure timely and effective collection of all debts
• Negotiate re-payment plans
• Liaise with lawyer to follow up the legal actions against bad paymasters
• Maintain contact with clients to ensure the debts are clear
• Resolve queries about the outstanding debts
• Update daily receipts to the accounting system
• Other relevant ad-hoc duties

Key Requirements:

• Min Diploma in any field
• Min 2 year relevant experience
• Possess knowledge of hire purchase operations and the whole cycle of legal process

Applicants who possess relevant experience for the above responsibilities are most welcome to apply.

If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Interested applicants, please submit your updated resume in MS Words / PDF format by using the APPLY NOW BUTTON.

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Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845