Contract: Long term (12 month+)
Location: Baltimore, MD (must be onsite Day 1 and in the office 3 days a week)
Innovate, design and deliver in terms of high reliability, scalability and extensibility
Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value
Deliver within a team and as an individual developer
Demonstrate master hands-on capability to drive components to delivery
Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact
Shows willingness to take on the complexities of the domain Portfolio Management, Quantitative Research, Risk, etc.
Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants
Balances strategic and pragmatic concerns when solving problems
Makes decisions that are cognizant of the firms broader business strategy
Conversant in multiple technologies and learns new technologies quickly
Demonstrates deep experience in automated testing and techniques
Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices
Experienced in several styles of architecture (e.g. real-time, batch, orchestration)
Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a nontechnical audience
Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately.
5+ years of progressive software engineering experience
Expert knowledge of Python and related popular libraries
Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS),
Microsoft Azure, or similar providers.
Proficient on Linux platforms with knowledge of various scripting languages
Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server
Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code
Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD,
A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
Experience of front office software development with an Asset Management, Hedge fund or Investment Ban.
Financial or Banking industry experience
BS or MS Degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university..