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Chase · 3 weeks ago

Senior Lead Software Engineer - Python Quant

575 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

$171K/yr - $260K/yr

5+ years exp

Chase is a leading financial services firm, and they are seeking a Senior Lead Software Engineer within the Equities Electronic Trading Team. In this role, you will enhance, build, and deliver technology products while providing technical guidance and collaborating with research and trading teams to develop robust tools and frameworks for quantitative research and trading.

BankingFinancial Services

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform

Design and build robust tools and frameworks to support quantitative research and production trading

Design, build and support critical research infrastructure (e.g. backtesting frameworks, strategy containers, high performant and scalable simulation environments, feature and strategy signal stores)

Develop interfaces and integration points between Python research environments and Java-based execution systems

Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Adds to the team culture of diversity, opportunity, inclusion, and respect

Qualification

PythonQuant trading systemsData pipelinesMachine learningSoftware Development Life CycleJavaC++Cloud experienceKDB/QShell scripting

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced in one or more programming language(s) - Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy

Design and implementation of front-office systems for quant trading

Knowledge of data pipelines, market data processing and backtesting workflows

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines

Ability to tackle design and functionality problems independently with little to no oversight. In-depth knowledge of the financial services industry and their IT systems

Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle

Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Knowledge of machine learning, statistical techniques and related libraries