[ref. e02500222] AI & Data Analytics Specialist - Banking
NXTGIG Sydney
NXTGIG is seeking an experienced AI & Data Analytics Specialist to join our dynamic team serving the banking sector. In this pivotal role, you will leverage data analytics and artificial intelligence technologies to derive actionable insights that enhance banking operations, improve customer experiences, and drive strategic initiatives.
You will work closely with finance and data teams to design and implement AI-driven models that analyze customer behavior, assess risk, and optimize financial products. The ideal candidate will possess a strong analytical mindset, a deep understanding of banking processes, and proficiency in AI and data analytics tools.
You will work closely with finance and data teams to design and implement AI-driven models that analyze customer behavior, assess risk, and optimize financial products. The ideal candidate will possess a strong analytical mindset, a deep understanding of banking processes, and proficiency in AI and data analytics tools.
If you are passionate about using data to transform the banking landscape and create impactful solutions, we encourage you to apply and be a part of NXT GIG's mission.
Responsibilities- Develop and implement AI models and data analytics solutions tailored to banking operations.
- Analyze large datasets to identify trends, evaluate customer behaviors, and assess financial risks.
- Collaborate with cross-functional teams to define analytical requirements and deliver impactful insights.
- Present findings and recommendations to stakeholders in a clear and actionable manner.
- Monitor and refine analytical processes to ensure alignment with industry standards and regulatory requirements.
- Stay updated on the latest trends in AI, data analytics, and banking technologies.
- Document methodologies and best practices to enhance knowledge sharing within the team.
- Bachelor's or Master's degree in Data Science, Finance, Computer Science, or a related field.
- Proven experience in AI and data analytics, preferably within the banking or financial services sector.
- Strong proficiency in programming languages such as Python, R, or SQL for data analysis.
- Experience with machine learning frameworks and data visualization tools.
- Solid understanding of banking regulations, risk management, and financial products.
- Excellent problem-solving abilities and attention to detail.
- Strong communication and presentation skills to effectively convey complex data insights.
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