Senior Data Scientist

Role Overview

• Lead end-to-end data science projects from conception to deployment.
• Develop and implement advanced machine learning models and algorithms in banking applications.
• Conduct strategic data analysis to inform business decisions and identify new opportunities.
• Communicate complex technical findings to senior management and stakeholders.
• Drive innovation in data science methodologies and tools.

Requirements

• Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master’s or Ph.D. preferred.
• 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact.
• Extensive experience in the financial services industry, with a deep understanding of financial data and business processes.
• Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results.
• Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks.
• Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries).
• Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques.
• Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
• Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts.
• Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases).
• Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards.
• Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
• Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies.
• Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions.
• Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently.
• Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
• Strong strategic thinking and a disruptive mindset to develop innovative data solutions.
• Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives.
• Strong customer-centric approach with a focus on delivering tangible business value.
• Demonstrated leadership qualities and the ability to mentor junior team members effectively.
• Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments.
• Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds.
• Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively.
• Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Hadoop
• Java
• NoSQL
• Postgres
• Python
• PyTorch
• Redis
• Scala
• Scikit-Learn
• Spark
• SQL
• Tableau
• Tensorflow