Quantitative Software Developer

AllianceBernstein • Nashville, TN

64d

About The Position

The Fixed Income Technology (FIT) group builds software that the Fixed Income business of AB uses in performing functions such as Fundamental Research, Quantitative research, Portfolio Management, Order Generation, Trading and Middle office and BackOffice operations. It partners with business to understand their challenges and help them by providing innovative technology solutions. We re-engineer the process where applicable in collaboration with business to help scale their business and be efficient in this dynamic market conditions. The candidate will join the Fixed Income Technology team to build and enhance the Muni Optimizer to automate the Muni SMA portfolio construction. It incorporates data from quantitative, fundamental, and liquidity research, that leads to automated portfolio construction. The candidate will also be integration trade suggestions from the optimizer to trading system. The candidate will be interacting with business users and business analysts on requirements, as well as collaborating with members of other teams. They will also be manipulating and analyzing large amounts of data while developing these applications.

Requirements

• Proficiency in C# and object-oriented programming (OOP) principles.
• Strong experience with Python and its application in software development.
• Familiarity with software architecture patterns and design principles.
• Experience with back-end technologies such as Oracle, SQL Server, .NET, REST API, Linux, Apache Spark, microservices, etc.
• Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Proven experience in leading and managing software development teams.
• Excellent communication and interpersonal skills.
• Ability to motivate and inspire team members to achieve project goals.
• Strong mathematical and statistical skills, with the ability to apply them to develop financial models and algorithms.
• Experience in developing and optimizing quantitative algorithms for financial applications.

Nice To Haves

• Familiarity with libraries and frameworks such as NumPy, SciPy, and Pandas for data analysis and algorithm development.
• Strong understanding of numerical methods and quantitative finance concepts.

Responsibilities

• Lead a team of software engineers in the design, development, and maintenance of software applications.
• Provide technical guidance and mentorship to team members, fostering a collaborative and innovative environment.
• Ensure adherence to best practices in software development, including code reviews, testing, and documentation.
• Work closely with the Software Architect to design scalable and efficient software architectures.
• Collaborate with the Infrastructure Engineer to ensure seamless integration and deployment of applications.
• Coordinate with cross-functional teams, including product management and quality assurance, to deliver high-quality software solutions.
• Develop new application solutions using C# and Python, leveraging object-oriented programming principles.
• Re-architect legacy systems to improve performance, scalability, and maintainability.
• Implement software solutions that meet business requirements and align with the company's technology strategy.
• Ensure the delivery of high-quality software by implementing automated testing and continuous integration practices.
• Conduct code reviews and ensure compliance with coding standards and best practices.
• Monitor and improve application performance and reliability.
• Stay up to date with emerging technologies and industry trends.
• Propose and implement improvements to existing systems and processes.
• Encourage a culture of continuous learning and improvement within the team.
• Design and implement high-performance analytics calculators and engines using C# and Python.
• Develop and maintain quantitative models and algorithms using Python to support financial analysis, trading strategies, and risk management.
• Create and refine quant algorithm scripts in Python to solve complex financial problems.
• Implement robust back testing frameworks to validate algorithm performance and reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees