This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
Essential Responsibilities
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Collaborate with stakeholders to understand data requirements.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
Minimum Qualifications
- Minimum of 2 years of relevant work experience and a Bachelors degree or equivalent experience.
Preferred Qualification
- 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
- Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
- Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
- Having experience in a Fintech working with Product and Engineering organization is a plus
- Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
- A high level of intellectual, professional, and interpersonal agility/flexibility, combined with strong analytical/problem-solving skills
- Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
- Strong communication skills in explaining complex matters in a simple and clear manner.