Neptune North
Systematic Trading Technologist
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Systematic Trading Technologist
Who We Are
Neptune North was founded in 2024 as a joint venture between Oliver Wyman, a global leader in management consulting and part of the NYSE-listed Marsh, and Rokos Capital Management, a global alternative investment fund manager. Our people are exceptional technical experts, who thrive on exploiting leading-edge technologies to solve the most complex problems.
We provide bespoke technology solutions to businesses operating in the banking and financial services, private capital and defence industries.
Our working environment is founded on principles of trust, collaboration, and shared purpose. We pride ourselves both on the high calibre of our people, and on the supportive workplace they create, where each individual is given autonomy to grow and thrive.
From our headquarters in Newcastle upon Tyne, UK, we operate across our international office network. We are expanding rapidly, building teams in key markets to stay close to our clients and talent.
Our Culture
We are looking for exceptional talent with excellent communication skills.
- Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users.
- Curiosity is something we embrace and value highly.
- We want people who are positive and passionate, have proven problem-solving capabilities, can work quickly to find solutions to complex challenges, and unlock big opportunities.
- People need to be able to take ownership and be trusted to deliver, going the extra mile.
- We want people who are highly motivated and have a high desire to learn.
Overview
Our client’s Systematic Tech team builds and maintains the firmwide platform powering systematic research, trading, and production operations across macro and equities. You will write the code that powers signal generation, execution, backtesting, and risk monitoring; partner directly with the investment team to translate their work into production systems; and contribute to a single shared codebase used across asset classes.
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The successful candidate will combine production-engineering depth, fluency working with quantitative research workflows, and a delivery mindset to take features from prototype through to live trading. This is a hands-on individual contributor role: you will be expected to write code, design pipelines, and ship features personally, while working closely with the investment team, traders, and adjacent technology teams.
Responsibilities
Hands-on Engineering:
- Build and maintain the infrastructure for large-scale systematic equities trading – data flow, backtesting framework, signal generation pipelines, model and result registries, execution, and post-trade flows, and the operational tooling used by the teams.
- Maintain and extend safe, low-touch execution systems capable of trading large volumes with minimal manual intervention, integrating with the firm’s OMS, EMS, and broker algos.
- Design for resilience and supportability – build alerting, observability, and operational runbooks alongside the infrastructure itself; provide live production support to drive issues to root cause; ensure systems remain reliable in the face of third-party failures.
- Performance engineering for data and compute – storage, caching, and data-transfer infrastructure to support large-scale backtesting and live trading, with ambition to scale to intraday signal generation.
- Maintain the development, research, and machine-learning platform – from IDE access and version control through to notebooks, compute environments, and the deployment pipelines researchers and engineers use to take strategies from prototype to production.
Systematic Equities Investment Team:
- Work directly with the investment team to translate their requirements into scalable, well-engineered tooling – delivering a mix of short-term tooling and long-term infrastructure projects in step with their evolving priorities.
- Build deep familiarity with internal tools, teams, and systems across RCM – leverage existing firmwide technology, coordinate cross-team asks, and show initiative in finding solutions that keep the technical build strategic.
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What makes a great candidate
- Strong proficiency in Python and SQL.
- Comfortable working with modern data-processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent).
- Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring, alerting.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills – able to work fluidly with the investment team, traders, and firmwide technology teams.
- Ownership mindset and enthusiasm for programming, with a proactive approach to driving improvements in a dynamic, integrated team.
- An Undergraduate Degree in a relevant subject.
We would also prefer you to have:
- 4+ years of software engineering experience; hands-on work supporting quantitative research or systematic trading in production environments preferred.
- Familiarity with shared codebases and modern engineering practices (CI/CD, code review, type checking, testing).
- Familiarity with cloud/containerised compute environments and distributed workloads.
- Proven interest in financial markets and automated trading.
Why join us?
- You can have an impact from day one – we empower and trust our people to leverage their skillsets.
- Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends.
- Deliver demonstrable business value working hand-in-hand with the customer.
- Learn from industry experts on how financial markets and world economies work.
- Ownership of technical products and projects – actively engage with a wide range of business functions to leverage their knowledge and exposure.
- Exercising judgement and acumen to understand the true business need beyond the stated requirements.
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