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 Core Technical competencies
- 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.
- 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.
