Data Analytics Officer at ICEA Lion Group

July 11, 2024

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Job Description

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.

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.


  • 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.