Specialist Solution Analyst

SUMMARY:
We are seeking a highly skilled Specialist Solution Analyst to join a technology and data strategy team in one of our leading clients in the banking sector. This role bridges the gap between business needs and technical solutions, with a strong emphasis on global markets, financial product knowledge, and cutting-edge technologies including cloud infrastructure, AI/ML, and API-driven systems.
The ideal candidate will have a background in data engineering, a passion for building robust data pipelines and integrations, and the ability to engage across stakeholders in technology, trading, and analytics functions.

POSITION INFO:
JOB DESCRIPTION INFORMATION


Job Title: Specialist Data Scientist
Employment Type: 3 Months Contract (Renewable)
Work Location: Onsite

Job Description:
We are looking for a highly motivated and technically skilled Specialist Solution Analyst to join our team. This is a pivotal role at the intersection of technology, data, and financial markets, responsible for designing, implementing, and optimizing data-driven solutions that support strategic business objectives.

Key Responsibilities:
Data Analytics & Machine Learning:

• Act as a technical lead in the design, development, and implementation of scalable data and analytics solutions for global markets.
• Translate complex business requirements into end-to-end technical architectures, leveraging APIs, cloud platforms, and ML models.
• Develop and optimize data pipelines, real-time data streams, and data connectors across internal systems and third-party platforms.
• Collaborate with quant teams, traders, and data scientists to support advanced analytics and AI/ML model integration.
• Ensure robust data governance, quality, and security in compliance with financial regulations and internal policies.
• Lead API integration efforts with external market data providers, financial institutions, and fintech platforms.
• Evaluate new tools, frameworks, and technologies to drive innovation within the data and analytics ecosystem.

• Proficiency in programming and coding (Python, SQL, Java or Scala preferred).
• Strong experience in data engineering (ETL/ELT pipelines, data wrangling, performance tuning).
• Deep knowledge of API integrations, RESTful services, and data connector frameworks.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), especially in a data context (e.g., S3, BigQuery, Snowflake, Lambda).
• Familiarity with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model deployment practices.
• Experience working with modern data platforms (e.g., Databricks, Apache Spark, Kafka, Airflow).

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Finance, or a related field.
• 5+ years of relevant experience in data-focused roles within financial services, banking or global markets environments.