Data Analytics Officer at ICEA Lion Group

Job Summary

Reporting to the Chief Accountant, the Data Analytics Officer is responsible for:-

• Assisting the department in analyzing data and metrics to identify trends that may be useful in decision making.
• Assisting in all phases of project work, including problem identification, formulation, model development, and deployment.

Roles and Responsibilities

•  Analyze source data and data flows, working with structured and unstructured data to determine trends and assist in better decision-making.
•  Support in the development and enhancements of Macros in configuring data sets to specified or standard reporting templates for aggregation from multi systems.
•  Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
•  Apply AI and Machine Learning technology to solve complex, finance problems
•  Analyze and visualize diverse sources of data, interpret results in a business context, and report results clearly and concisely
•  Fulfill problem formulation and ML technique consulting requests in a timely manner
•  Communicate and present analytical models to the department management
•  Work collaboratively with different business partners and be able to present results in a clear and concise manner.
•  Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
•  Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
•  Assist with image data curation, processing, and analysis; create and maintain optimal data pipelines by conducting regular quality and reproducibility checks.
•  Assist with developing and deploying AI educational workshops/seminar series for the finance staff to accelerate AI adoption.
• Communicate results/findings.

Requirements
Academic and Professional Qualifications and knowledge

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics
• Master’s degree and professional qualifications will be an added advantage.
• Exceptional skills in
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Scalable Computing.

Experience

• 2+ years of experience in software development with Python/Scala/R/ C++/technical languages
• 1+ years working with Artificial Intelligence / Machine Learning tools and techniques
• 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering
• Demonstrated ability in the application of Machine Learning or AI in real-world settings with large scale data
• Experience with Deep Learning tools such as TensorFlow, PyTorch, or other frameworks on GPUs
• Experience with Agile software development
• Experience with parallel and distributed computing is a plus.

Core Technical competencies

• Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection
• Sound understanding of Financial Services/Insurance technologies.
• Excellent relationship management skills.
• Strong oral and written skills.