Position Overview: 

We are seeking a highly skilled Quant - Management Trainee (Quant - MT) to join our dynamic team. The ideal candidate will have a good understanding of quantitative finance, risk model development, credit risk management, banking regulations and reporting with proficiency in programming languages such as Python/R etc. 

As a Quant - MT, you will play a crucial role in supporting various quantitative risk analysis, developing & implementing risk models and methodologies to support our risk management strategies and ensure regulatory compliance. 

Responsibilities: 

• Supporting various quantitative risk analysis, aspects of model risk management (first line and second line) and regulations.  

• Producing quantitative analysis to support the team in conducting model implementation, monitoring and validation.  

• Work closely with cross-functional teams including business stakeholders, model validation and governance teams.  

• Conduct thorough analysis of large datasets to identify patterns, trends, and potential risks, and provide actionable insights to senior management. 

• Deliver high quality client services, including model documentations, within expected time frames.  

• Analyze and assess financial and operational risks, evaluating their potential impact on the organization.  

• Utilize quantitative and qualitative data to identify, measure, and monitor risk exposures.  

• Develop and maintain risk models to predict and manage various risk factors, including market risks.  

• Prepare and present detailed risk reports to senior management, providing insights and recommendations.  

• Ensure that the organization complies with regulatory requirements and internal risk policies and procedures. 

Qualifications: 

• Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science or a related field. 

• Strong programming skills in languages such as Python, SQL, R, or MATLAB, with experience in data manipulation, statistical analysis, and machine learning techniques. 

• Excellent analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions. 

• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders. 

• Certification such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) is a plus.