At a Glance
- Tasks: Build innovative risk algorithms and develop scalable backend systems using cutting-edge tech.
- Company: Join a leading financial services firm with a focus on technology and innovation.
- Benefits: Enjoy competitive salary, health benefits, hybrid work, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact by working with Generative AI and large data sets in a dynamic environment.
- Qualifications: 4+ years of Python experience and strong backend development skills required.
The predicted salary is between 123750 - 151250 $ per year.
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities
- Build and implement sophisticated risk algorithms on Citi's strategic platforms by integrating Generative AI foundational models to validate market behavior and extract actionable intelligence from large volumes of chat & voice data.
- Apply advanced prompt engineering, token usage optimization, and Retrieval-Augmented Generation (RAG) techniques to develop efficient, production-grade solutions using Citi's proprietary data at scale.
- Design, develop, and deliver end-to-end backend systems - from architectural design and system analysis through to deployment on Kubernetes-based infrastructure.
- Continuously evaluate and implement emerging Generative AI techniques and technologies to improve platform capability and development efficiency.
- Collaborate with cross-functional teams to define, design, and ship new features across a platform with hundreds of underlying controls.
- Produce high-quality, production-ready software that is unit-tested, code-reviewed, and integrated continuously into live systems.
- Create and maintain clear, comprehensive technical documentation to support system reliability and team knowledge sharing.
Required Qualifications & Skills
- 4+ years of hands-on experience applying deep professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems.
- Practical knowledge of Kubernetes for deploying and operating scalable backend platforms and engineering high-performance APIs.
- Solid command of software engineering fundamentals, including system design, data structures, and algorithms.
- Ability to work independently, manage competing priorities, and deliver across multiple workstreams without close direction.
- Bachelor's degree or equivalent professional experience.
Beneficial Skills & Qualifications
- Experience working in financial services or banking, with familiarity with trading workflows, market data, or financial risk concepts.
- Exposure to processing and deriving insights from large volumes of unstructured or conversational data.
- Strong communication and influencing skills, with the ability to align technical and non-technical stakeholders around shared goals.
- Experience working across cross-functional teams and contributing to collaborative platform delivery.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Intermediate Python Engineer in Mississauga employer: Citigroup Inc.
Citi is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the Lead Automation Developer role in a high-velocity Agile environment. Employees benefit from extensive professional growth opportunities, cutting-edge technology integration, and a commitment to innovation, all while collaborating with talented teams to drive impactful solutions. Located in a vibrant city, Citi offers a supportive atmosphere that values diversity and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding careers.
