Data Architect

Key Responsibilities
Develop and deploy machine learning models for analytics and automation.
Analyze data to support business strategy and decision-making.
Design solutions to improve financial service operations.
Collaborate with engineering and business teams
Maintain data pipelines and support real-time analytics.
Use machine learning to enhance risk assessment and fraud detection.
Communicate insights through reports and dashboards.
Stay current with trends in data science and financial technology.

Skills and Abilities
Proficient in Python R or Scala.
Experienced in data cleaning using Pandas NumPy and SQL.
Skilled with machine learning tools like TensorFlow PyTorch and ScikitLearn.
Strong problem solving and analytical thinking.
Able to explain complex data to nontechnical stakeholders.
Capable of managing multiple projects in a fastpaced environment.

Knowledge and Experience
Degree in computer science data science statistics or a related field.
Over three years of experience in data science or machine learning.
Experienced with large datasets and distributed computing like Spark or Hadoop.
Strong understanding of statistics probability and optimization.
Familiar with cloud platforms such as AWS GCP or Azure.
Background in financial services including trading or risk management is a plus.