Software Engineer - Full Stack (Associate level)

Nomura Holdings, inc. • Philadelphia, PA

1d

About The Position

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.
Aon’s Benefit Index®, Nomura’s benefits rank #1 amongst our competitors

The international business brings together a legacy of investing in public and private markets on a global scale. Through active management, we deliver differentiated and innovative solutions across equities, fixed income, multi-asset, and private credit supported by a team of disciplined and tenured investment professionals. Building upon Nomura’s century long heritage, our teams are responsible stewards of clients’ capital. We approach everything we do with accountability, curiosity, and integrity to help clients across wealth and institutional channels navigate an ever-changing market, capture opportunities around the world, and reach long-term investment goals.Role Description / Responsibilities:

Creating optimal data pipelines using Apache Airflow DAGs, Docker, AWS, Python
Assembling large, complex sets of data that meet non-functional and functional business requirements
Designing modern, interactive, user-friendly web apps (UI) using React, Material UI, and similar frameworks
Designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes 
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

Requirements

• Extensive hands-on experience in designing and delivering full stack technology solutions to solve business problems preferably within Asset Management or financial services
• Demonstrated ability to propose and implement solutions across full stack applications and data pipelines running in the cloud (preferably AWS).
• Ability to communicate complex technical challenges and their solutions clearly to peers and junior engineers to align on solutions and mentor others in the team.
• Experience with cloud platforms, microservices architectures, DevOps practices, and containerization technologies.
• 4+ years’ experience in software engineering
• AWS – SNS, SQS, EC2, Lambda, RedShift
• Python (Object-Oriented) & SQL
• Docker Containers
• CI/CD tools, e.g., Jenkins
• RESTful APIs
• Apache Airflow Orchestration
• Asset Management / Financial domain experience
• Web UI skills - Python, DJANGO, XML, CSS, HTML, DHTML, JavaScript, AngularJS, ReactJS and jQuery
• Education – Bachelor’s degree in Computer Science, Computer Engineering, or equivalent

Nice To Haves

• You will be considered a top candidate if you have familiarity with our tech stack (React, Python, AWS, Lambda, Redshift, S3), our platforms (Aladdin, Bloomberg, FactSet) or our business domain (research, portfolio construction, trading and execution, performance attribution across equities, fixed income and derivatives)

Responsibilities

• Creating optimal data pipelines using Apache Airflow DAGs, Docker, AWS, Python
• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Designing modern, interactive, user-friendly web apps (UI) using React, Material UI, and similar frameworks
• Designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level