The Opportunity

As a Software Engineer, Trading and Portfolio Analytics, at Nascent, you’ll design, implement, and maintain the front-office systems that power quantitative research and live trading. You’ll build low-latency prime-broker integrations for reliable execution across new markets and asset classes, evaluate past trades and transaction costs to shape and optimize execution algorithms, and deliver real-time risk monitors that compute and expose portfolio-level metrics (including pre- and post-trade audits). You’ll also own production reliability and automate reporting pipelines for P&L attribution, trading statistics, and compliance records so the desk can move faster with confidence.

You will thrive here if you take end-to-end ownership: you spot gaps, design pragmatic solutions, ship them, and iterate from real feedback. You enjoy equal parts building new systems and refining what’s already running, and you bring a bias for automation, testing, and observability so reliability scales with speed. You’re curious and methodical, able to deep-dive into unfamiliar stacks, ask the right questions, and change course when the data demands it. If you’re the type to stay calm under pressure and love small, collaborative teams, then this is the perfect opportunity for you.

Key Responsibilities

Design, implement and maintain front-office systems that directly support quantitative research, analytics and trading workflows
Develop robust low-latency integrations with execution venues to ensure seamless and reliable execution in new markets and asset classes
Evaluate past trades and transaction costs to building and optimize execution algorithms
Build real-time risk monitoring systems that compute and expose portfolio-level risk metrics, including pre and post-trade audits
Ensure production reliability through integration testing and automated monitoring/alerting frameworks
Automate reporting pipelines for PnL attribution, trading statistics and compliance records to streamline operational needs

About you

You thrive in ambiguity and less-structured environments and feel comfortable building structure and executing your own plans.
You get energy from both starting new projects and optimizing/maintaining what you’ve built as well as working closely with interdisciplinary teams.
You’re naturally curious and can independently deep-dive into unfamiliar tools or topics.
You can identify potential areas for improvement and have the high level of ownership required to continually improve our systems.

Preferred Experience

1-3 years of professional software engineering experience in a front-office environment
Bachelors or Master’s degree in computer science, engineering, statistics or related field
Business knowledge of financial instruments, market microstructure, trade lifecycle, risk identification/mitigation or portfolio optimization
Expertise in writing clean, modular and maintainable code
Proficiency in building front-office tools for traders such as execution systems.
A basic foundation in statistical principles, including but not limited to correlation analysis, A/B testing, and the capability to perform transaction cost analysis.
Preference to a candidate with experience in Python and at least one other high-performance compiled language such as C++ or Rust.

Software Engineer, Trading and Portfolio Analytics

Anywhere in the world

Remote

Senior

Nascent