Citi, a leading global financial services company, is seeking an experienced Algo Trading Java Developer at the VP level for their New York office. This hybrid role offers an exciting opportunity to work at the intersection of technology and financial markets.
The position requires a seasoned professional with 6-10 years of experience in application development and systems analysis, who will lead technical initiatives in algorithmic trading systems. As a VP-level developer, you'll be responsible for collaborating with multiple management teams to ensure proper integration of functions and achieve strategic objectives. The role involves solving complex technical challenges and implementing innovative solutions in a fast-paced trading environment.
The ideal candidate will bring extensive experience in Java development, systems analysis, and software application programming. You'll be expected to serve as a Subject Matter Expert (SME) in application development, providing technical leadership and mentoring to mid-level developers. Strong project management skills and the ability to adapt quickly to changing priorities are essential.
The position offers a competitive compensation package ranging from $142,320 to $213,480, along with comprehensive benefits including medical, dental, and vision coverage, 401(k), life insurance, and various wellness programs. Citi provides a supportive work environment with opportunities for professional growth and development.
Working in a hybrid setup in New York, you'll be part of a dynamic team that drives innovation in algorithmic trading systems. The role requires a bachelor's degree (master's preferred) and demands excellent communication skills to interact effectively with stakeholders across the organization.
This is an excellent opportunity for a seasoned Java developer looking to advance their career in financial technology while working for one of the world's leading financial institutions. The position offers the perfect blend of technical challenges, leadership opportunities, and the chance to make a significant impact in the algorithmic trading space.