Michael Paige
Website:
michaelpage.com
Job details:
- Develop and implement data-driven strategies to optimise collection processes and improve recovery rates.
- Analyse portfolio performance and identify trends to mitigate risks and enhance efficiency.
- Collaborate with cross-functional teams to align analytical insights with business objectives.
- Design and monitor predictive models for collections and credit risk assessment.
- Ensure compliance with regulatory requirements and internal policies in all analytical activities.
- Provide actionable insights and recommendations to senior stakeholders for strategic decision-making.
- Oversee the development of dashboards and reports to track performance metrics and KPIs.
- Mentor and guide the analytics team to foster a culture of continuous learning and innovation.
A Successful SVP Collection Analytics Should Have
- Advanced degree in a relevant field such as Statistics, Economics, or Data Science.
- Strong expertise in analytics within the financial services or fund management industry.
- Proficiency in statistical tools and programming languages such as Python, R, or SAS.
- In-depth understanding of credit risk modelling and collection strategies.
- Proven ability to lead and mentor teams effectively.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to present complex data insights to stakeholders.
Our client is a NBFC organisation.
- Collaborative and innovative work environment with a focus on technical excellence
- Opportunity to work with a reputable large organisation in the financial services industry.
The SVP Collection Analytics will be responsible for designing and implementing advanced analytical strategies to optimise collections and drive performance in a financial services context. This role is based in Mumbai and involves working closely with cross-functional teams to achieve business objectives.
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