Data-Driven Credit Collections Lead at QuickCheck
Seedstars
Accounting, Auditing & Finance
Job Summary
Job Description/Requirements
for this role include Analyze current performance, research, continuously develop and implement collection processes that reduce the amount of delinquency or default Organize the outbound call center into squads, leveraging VoIP technologies and IVR Ensure debts are fully recovered in a proper approach and compliance to different consumer protection regulations and quality frameworks. Provides insights to Credit Collection KPIs like conversion rate and connection rate impacting both new and returning users Work together with Head of Risk and Operations Team to mitigate fraudulent approval to risky cohorts as described by the risk team Work with relevant recovery agencies and provide recommendations based on KPI performance and a continuous report on CBA.
Your profile
3 years leading a credit collections team in a fintech or digital collection space Experience in conceiving and implementing Credit Recovery processes will be highly valued Proactive, with an innate drive to explore different options for reaching results autonomously High attention to detail, and the password for the vision document above is iwalkthetalk You possess strong analytical and IT skills, proficiency in Excel. SQL basic knowledge is a must in this role Great communicator: ability to listen and collect feedback from different stakeholders, you make sure everyone is constantly aligned to the agreed objective You lead by example, humble but with high ambitions and desire to learn more Proven ability to influence cross-functional teams without formal authority.Benefits and perks
Be part of an international team Modern and cool office, Silicon Valley style 8-) High degree of autonomy, flat hierarchy, open communication and get âshitâ done attitude Pension, life, and health insurance schemes Flexible working hoursWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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