Goldman Sachs Software Engineering - Controllers Vice President Birmingham 

United Kingdom, England, Birmingham 

875562563

Responsibilities

• In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance.
• Develop high level and detailed technical designs, testing strategies, and implementation plans.
• Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance.
• Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation.
• Build strong relationships with business partners.
• Identify opportunities for cross-divisional collaboration and reuse of common solutions.
• Data modelling and curation

Basic Qualifications

• Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
• 6+ years of software development experience.
• Excellent object oriented or functional analysis and design skills.
• Knowledge of data structures, algorithms, and designing for performance.
• Excellent communication skills including experience speaking to technical and business audiences and working globally.
• Ability to solve problems and apply analysis to make data driven decisions.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Can apply an entrepreneurial approach and passion to problem solving and product development.

Expert Knowledge in One Or More Of

• Programming in Java and experience with concurrency and memory management
• Strong RDBMS knowledge
• Experience developing distributed, micro services-based application.
• Experience with data modelling and curation for large scale datasets
• Experience with Cloud Technologies. You’ll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS S3, Snowflake etc.

Preferred Qualifications

• Knowledge or interest in investment banking or financial instruments
• Experience with big data concepts (we use Hadoop for Data Lake)
• Experience with near real time transactional systems like Kafka
• Experience in BPM