Technical Lead designing and implementing Java, AWS, and AI solutions for Datacom. Act as trusted advisor to clients, integrating AI capabilities into applications deployed on AWS.
About the role
- Play a key role in the Data Platform, shaping hedge fund administration technology, streamlining daily workflows, and enhancing reporting for fund accountants, investment managers, clients, and investors
- Lead the design, development, and implementation of high-performance Java-based applications and microservices for digital investment products
- Collaborate closely with product management, UX/UI designers, and other developers to deliver high-quality software that meets client requirements
- Drive the adoption of best practices in coding, testing, and software architecture to ensure high standards of code quality, performance, and scalability
- Participate in all phases of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintenance
- Provide technical leadership and mentorship to junior developers, promoting continuous learning and professional development within the team
- Conduct code reviews, troubleshoot and resolve complex technical issues across the application stack, and contribute to strategic planning of the Digital Development function
Requirements
- Bachelor’s or master’s degree in computer science, Engineering, or a related field
- 6+ years of hands-on experience in AI & Python development
- Expertise in Django, Flask, or FastAPI
- Ability to design and build end-to-end applications and API integrations
- Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL
- Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions
- Deep understanding of microservices architecture and distributed computing principles
- Strong knowledge of security best practices in software development
- Familiarity with data analytics and visualisation tools such as Snowflake, Looker, Tableau, or Power BI
- Strong communication and stakeholder management skills
- Desirable: 1-2 years working with SLMs and LLMs; supervised fine-tuning, RLHF, prompt tuning, parameter-efficient fine-tuning (LoRA, adapters), knowledge distillation; retrieval-augmented generation (RAG); experience in the financial industry
Benefits
- Hybrid Work Model
- Professional Development Reimbursement, including access to SS&C University
- Competitive holiday scheme
- Competitive benefits designed to support the well-being of our staff
- Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
- Hands-On, Team-Customised training throughout your career
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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