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risk modelling (fintech).

job details

summary

    job details

    about the company
    Our client is an established fintech firm providing credits to retail and small businesses. Through the use of smart information technology, they are able to support FIs and companies to provide credits to the underserved borrowers in Asia Pacific markets.

    about the job

    • To develop credit risk models (scorecards) to quantify the risk by using advanced analytics algorithms and machine learning such as, e.g. Gradient Boosting Machine and Radom Forest
    • Perform model related data analysis and MIS
    • Develop strategy/model and infrastructure for the identification, assessment, management of credit risk
    • Independently review credit portfolio, run review credit analysis and enhance credit performance
    • Explore and evaluate alternative data sources


    about the manager/team
    You will be working alongside a regional team in Asia comprise of diversified culture.

    skills and experience required

    • Degree in any Business, Statistic or Finance
    • Min 5 years experience in credit risk analytic or modelling experience in Banking of Fintech
    • Retail or SME credit experience with knowledge in Python coding
    • Prior experience in deploying machine learning/advanced analytic algorithms
    • Good communication and interpersonal skill


    To apply online please use the 'apply' function, alternatively you may contact Chai Leng at 6510-1460.
    (EA: 94C3609/ R1106631)

    Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.

    about the company
    Our client is an established fintech firm providing credits to retail and small businesses. Through the use of smart information technology, they are able to support FIs and companies to provide credits to the underserved borrowers in Asia Pacific markets.

    about the job

    • To develop credit risk models (scorecards) to quantify the risk by using advanced analytics algorithms and machine learning such as, e.g. Gradient Boosting Machine and Radom Forest
    • Perform model related data analysis and MIS
    • Develop strategy/model and infrastructure for the identification, assessment, management of credit risk
    • Independently review credit portfolio, run review credit analysis and enhance credit performance
    • Explore and evaluate alternative data sources


    about the manager/team
    You will be working alongside a regional team in Asia comprise of diversified culture.

    skills and experience required

    • Degree in any Business, Statistic or Finance
    • Min 5 years experience in credit risk analytic or modelling experience in Banking of Fintech
    • Retail or SME credit experience with knowledge in Python coding
    • Prior experience in deploying machine learning/advanced analytic algorithms
    • Good communication and interpersonal skill


    To apply online please use the 'apply' function, alternatively you may contact Chai Leng at 6510-1460.
    (EA: 94C3609/ R1106631)

    Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.