Quantitative Developer - Systematic Equities Trading (Python)

Corgi develops insurance products for technology startups using AI, Django, and Stripe. Backed by $108M in funding and licensed as a carrier, the company is expanding throughout the UK and EU. The engineering team builds new ways to deliver insurance, focusing on rapid product development and real-world impact. Role overview This Python Engineer role is based in London and suits builders who enjoy taking ideas from concept to launch. The team values independent thinkers who have shipped products, whether side projects, weekend experiments, or anything with real users. Engineers here often work autonomously and see projects through from start to finish. What we look for History of independently building and launching projects Ability to work across the stack and learn quickly Delivers results in short cycles, progress is measured in hours and days Strong opinions, but open to better approaches Focus on outcomes, not titles; low-ego attitude Work culture Quick decision-making; perfection is not required Frequent product launches and improvements Ship-and-iterate approach, rather than long review cycles High energy during launches, steady pace between projects Transparent, public-first decision-making Internal competition helps raise standards This position fits those who want to make a real impact, not those seeking to coast. Behaviors that won’t fit Avoiding accountability or engaging in office politics Taking feedback personally instead of using it to improve Adding unnecessary complexity Missing agreed deadlines How to apply Send links to your GitHub, personal site, live projects, or anything you’ve built and launched Resumes are optional Email applications to: sergio@corgi.com If you cannot show evidence of shipped work, this role is unlikely to be a fit Location and compensation London-based (on-site or hybrid options) Base salary: £75,000 to £140,000, plus equity Salary depends on shipping ability, not job title

Corgi is a licensed insurance carrier focused on tech startups, using AI to simplify and speed up coverage. The company has raised $108M and is expanding across the UK and EU. The platform relies on Django, integrates Stripe for payments, and features AI-driven underwriting. Role overview This founding engineer role is based in London and centers on building and launching new products, often independently. Corgi values engineers who turn ideas into live products, rather than following detailed roadmaps. Evidence of shipped side projects, weekend builds, or products that have reached real users is highly regarded. Who succeeds here Track record of independently building and delivering real projects Comfortable working across the full technology stack Delivers results quickly, in hours or days Low-ego, motivated by results rather than titles Open to feedback and willing to adopt better ideas Thrives in a high-energy startup setting How we work Decisions are made quickly; perfection is not the goal Products and processes ship regularly, not just quarterly Iteration happens after shipping, not after long review cycles High intensity during launches, with a steady pace year-round Transparent decision-making; no closed-door policies Internal competition is encouraged to raise standards This is a hands-on role for builders who want to make things happen. Behaviors that don’t fit Office politics, gossip, or avoiding responsibility Taking direct feedback personally instead of constructively Adding unnecessary overhead instead of streamlining Missing deadlines after committing to them Application process Send links to your GitHub, personal website, live projects, or shipped products CVs are not accepted Email applications to: sergio@corgi.com Evidence of shipped work is required for consideration Location and compensation Role is based in London; on-site or hybrid arrangements available Base salary: £75,000–£140,000, plus equity Salary band reflects proven shipping ability, not job titles

Corgi builds insurance products for tech startups, using AI to power underwriting and Django as the main platform. With $108 million raised and a full license as a carrier, Corgi is expanding into the UK and EU. The company integrates Stripe for payments and emphasizes rapid growth and innovation. Role overview This High-Intensity Engineer role in London is designed for builders who take projects from idea to live product with little direction. The position favors those who have shipped real products, whether personal projects, weekend builds, or anything with active users. Corgi cares about what has been launched, not job titles or formal credentials. What matters at Corgi Strong motivation and energy that matches startup demands A personal record of delivering projects independently Ability to turn ideas into results quickly, often in hours or days Comfort working across the full stack and tackling varied challenges Clear opinions with openness to better approaches Focus on outcomes and performance, not hierarchy How the team operates Quick decision-making, prioritizing action over perfection Frequent shipping of products and process improvements Minimal review cycles, favoring a ship-and-iterate approach High intensity during launches, steady engagement otherwise Transparent decisions, no closed-door meetings Internal competition used to raise standards This position is for those who want to build and ship, not coast. Behaviors that lead to quick removal Engaging in politics, avoiding responsibilities, or gossiping Taking feedback personally instead of improving from it Adding unnecessary processes rather than streamlining work Missing commitments or failing to deliver on time How to apply Send links to GitHub, personal sites, live projects, or any shipped work Do not send a CV Email applications to: sergio@corgi.com This role requires proof of shipped work Location and compensation London-based, with on-site or hybrid options Base salary: £75,000 to £140,000, plus equity Compensation is based on ability to ship products, not job title

Corgi builds AI-powered insurance products for tech startups, operating as a licensed carrier with $108M raised. The team is expanding into the UK and EU, using a platform built on Django, Stripe for payments, and advanced AI underwriting. Role overview This Full-Stack Engineer role is based in London. The work centers on turning concepts into live products quickly, using the full technology stack. The team values those who enjoy building and shipping, rather than just designing or planning. Projects move from idea to launch at a fast pace, with engineers expected to execute and deliver real products for real users. What we value Experience independently building and launching polished products for actual users and real traffic Ability to make progress in hours and days, not months or quarters Comfort working across the stack and tackling new technical challenges as they arise Strong opinions paired with openness to feedback and change A humble approach and drive to improve both products and processes How we work Decisions happen quickly, without waiting for perfect information New products and process improvements ship regularly Iteration is valued over endless review cycles High energy during launches, steady focus during quieter periods Open communication and transparency are prioritized Healthy internal competition is encouraged to raise the bar This environment suits those who take pride in building and shipping. It is not a fit for those looking to coast. Behaviors that don’t fit here Engaging in office politics, blame, or gossip Treating direct feedback as personal criticism Adding unnecessary complexity instead of simplifying Missing deadlines after committing to them How to apply No CV required. Instead, send links to your work, such as GitHub, a personal website, live projects, or anything you’ve built and launched, to sergio@corgi.com. If there is no shareable work, this role likely isn’t the right match. Location This position is London-based. Both on-site and hybrid arrangements are available. Compensation Salary ranges from £75,000 to £140,000, plus equity. The range reflects a focus on what you can ship, not just your title.

Corgi builds insurance products for tech startups in the UK and EU, using AI-driven underwriting and a platform built on Django and Stripe. With $108M in funding and a licensed carrier status, the company focuses on new solutions tailored for the startup ecosystem. Role overview This backend software engineering position is based in London. Engineers here build and deploy products quickly, often working independently. The team values those who have taken projects from concept to launch, especially if they can point to live products or side projects with active users. What matters here Comfort with the pace and demands of a startup Proven ability to independently ship real projects Delivers results in hours or days, not weeks Works across the stack and adapts to new problems Shares strong opinions but stays open to better ideas Keeps ego low and focuses on real contributions How the team operates Quick decision-making, prioritizing progress over perfection Frequent product launches and process updates Short review cycles and regular releases High energy during launches, few quiet stretches Transparency in decisions and team communication Healthy internal competition that raises performance This is a build-focused role where steady contribution is expected. Behaviors that do not fit Office politics or gossip Taking feedback personally instead of using it constructively Introducing unnecessary bureaucracy Missing commitments or slow follow-through How to apply Send links to your GitHub, personal site, or live projects you have built and launched Do not send a CV Email your application to: sergio@corgi.com If you cannot show evidence of previous work, this role is not a fit Location and compensation London-based; on-site or hybrid options available Base salary ranges from £75,000 to £140,000, plus equity Compensation is based on proven ability to ship, not job titles

Corgi builds insurance products for tech startups, using AI to drive its platform and underwriting. With $108 million raised and a carrier license in place, Corgi operates with regulatory approval and is expanding into the UK and EU. The core technology stack includes Django and Stripe for payments. Role overview This Full-Stack Software Engineer position is based in London. The work centers on building and deploying products independently, rather than following detailed roadmaps. Candidates who have shipped real products, whether side projects, weekend builds, or anything with actual users, will stand out here. What we look for Engineers who take ideas from concept to live product, hands-on. Proven experience shipping projects independently. Comfort working across the stack and adapting quickly to new challenges. Focus on achieving results in hours and days, not just over long sprints. Openness to feedback and new approaches, paired with strong opinions. Low-ego, outcome-driven mindset. How we work Decisions happen quickly, waiting for perfect solutions is not the norm. New products and changes go live regularly, not just quarterly. Shipping and iterating take priority over lengthy review cycles. Intensity remains high during both launches and quieter periods. Transparency matters; decisions are made openly. Internal competition is encouraged to raise the bar for everyone. This is a build-focused role. Coasting is not part of the culture. Behaviors that won't fit Office politics, gossip, or avoiding responsibility. Taking feedback personally rather than using it to improve. Adding unnecessary complexity instead of simplifying. Missing deadlines after making commitments. How to apply Share links to GitHub, personal sites, live projects, or any deployed products. CVs are not accepted. Email applications to: sergio@corgi.com If you cannot provide evidence of shipped work, this role is likely not a match. Location and compensation London-based, with on-site or hybrid options. Base salary: £75,000 to £140,000, plus equity. The salary range reflects a focus on demonstrated ability to ship, not job titles.

Corgi is an AI-driven insurance company serving tech startups. With $108 million in funding and full regulatory approval, Corgi operates as a licensed carrier. The platform is built with Django and uses Stripe for payments, while AI-enhanced underwriting powers the core product. Corgi is now expanding into the UK and EU markets. Role overview This Backend Software Engineer position is based in London. The role centers on building and shipping products from idea to live deployment. Candidates who have shipped side projects, launched products, or built anything that reached real users or traffic will stand out. The focus is on creating and delivering, not maintaining or coasting. What Corgi values Readiness to work at a startup's pace Proven track record of independently developing and launching projects Focus on outcomes, delivering results in hours or days Adaptability across the tech stack and willingness to tackle new challenges Strong opinions paired with openness to feedback Low-ego, motivated by impact rather than titles Team culture Quick decision-making, prioritizing progress over perfection Frequent product launches and process updates Ship-and-iterate approach instead of long review cycles Consistent intensity, both during launches and quieter periods Transparent decision-making Internal competition to drive high performance Behaviors that are not a fit Office politics or avoiding responsibility Taking feedback personally rather than using it for growth Adding unnecessary complexity Missing commitments or failing to deliver promptly How to apply Send links to GitHub, personal websites, live projects, or any shipped work. Do not send a CV. Email applications to: sergio@corgi.com. Evidence of shipped projects is required for consideration. Location and compensation This position is based in London, with on-site or hybrid options. Base salary ranges from £75,000 to £140,000, plus equity. Demonstrated ability to ship products is valued more than job titles.

Role overview Genomics England is looking for a Software Engineer with solid Python experience to help create software that drives genomics research and benefits patient care. The team combines engineers and scientists who work together to build scalable tools that advance the organization's mission. What you will do Develop and maintain software applications using Python for genomics-related projects. Collaborate with fellow engineers and scientists to design solutions that back both research and clinical goals. Contribute to technology projects aimed at improving patient outcomes. Location This role is based in London.

Role overview dvtrading is hiring a Quantitative Trader specializing in equities for its London office. This position focuses on applying quantitative techniques and data analysis to identify trading opportunities within equity markets. Both strategy development and hands-on execution play a central part in the role, directly impacting the firm's trading performance. What you will do Analyze extensive market data to find patterns and opportunities in equities trading Design, test, and implement quantitative trading strategies Collaborate with a team of experienced traders and researchers Monitor how strategies perform and adjust them to improve results Who thrives here People who enjoy solving complex problems in creative ways Those with a strong interest in financial markets Individuals comfortable in a collaborative and energetic team setting Location This role is based in London.

About JuniorAt Junior, we're innovating at the forefront of investment research with our state-of-the-art LLM-powered tools. Our mission is to empower the world's most discerning deal teams, including some of the top 10 global private equity firms, Big 4 professional services, and leading consulting practices, who collectively manage billions in investments annually.As a profitable, bootstrapped company, we've grown our team to approximately 28 dynamic individuals across our London and New York offices. Following a remarkable 10x revenue increase in 2025, we are poised for another thrilling growth phase, aiming to double or triple our success this year. Our clients benefit significantly, saving an average of 10 hours per diligence weekly, as we facilitate their deal workflows. The RolePrivate equity is where we excel. We've established a robust product-market fit, with firms leveraging Junior for their due diligence, expert consultations, and portfolio management processes. Our ambition is to onboard 20-35 new private equity customers this year, and this role is crucial in propelling that growth.You will engage with CTOs, CCOs, Managing Directors, and Heads of Portfolio Operations within mid-market and top-50 PE firms, guiding them through consultative sales cycles. This role demands an understanding of technical solutions and the ability to navigate complex stakeholder environments. Deal values range from $100k to $2M ACV, encompassing security assessments, compliance reviews, and firm-wide implementation strategies.This is not just order fulfillment; you will actively seek new opportunities, construct tailored account strategies, and finalize sophisticated enterprise agreements in a market where our product has already gained notable traction. As an Account Executive, you will have the unique opportunity to:Hunt and close new logos within the private equity sector, focusing on enterprise deals ranging from $100k to $2M ACV.Develop and execute comprehensive account plans for targeted firms, identifying CTOs, Heads of Portfolio Operations, deal leads, and other essential contacts.Conduct discovery sessions and product demonstrations with senior finance professionals, articulating Junior's value in the context of due diligence, expert networks, portfolio monitoring, and deal execution.Overcome complex enterprise procurement hurdles: including security evaluations, data residency stipulations, IT integration, and planning for organization-wide rollouts.Craft and present a compelling value proposition and ROI framework tailored to PE workflows, illustrating how Junior can save clients significant time and resources.

About AboundAt abound, we are revolutionizing the landscape of consumer lending across the UK and beyond. By leveraging cutting-edge AI and Open Banking data, we strive to make fair and affordable personal finance accessible to a wider audience. Unlike traditional lenders who heavily depend on credit scores, we analyze the complete financial picture of our customers—considering their spending patterns and repayment capabilities—to build a nuanced understanding of their unique financial situations.Our approach has proven successful at scale. We have facilitated over £1.3 billion in loans directly to customers while achieving exceptional credit performance—for every 10 defaults anticipated by the industry, we experience only 3. Remarkably, we reached profitability just 2.5 years post-launch.With backing from over £2 billion from prestigious investors including Citi, GSR Ventures, and Deutsche Bank, we are recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we expand into new markets and product lines, we are on the lookout for driven individuals eager to learn, take ownership, and grow alongside us.We are seeking a talented Senior Python Engineer to join our engineering team. In this role, you will collaborate closely with our Finance team to design and implement automation solutions that enhance our core financial operations. You will be responsible for translating business needs into robust, maintainable systems that increase accuracy and efficiency across critical workflows.This position requires a candidate who blends strong technical acumen with a desire to understand the business intricacies. You will be empowered to independently scope and execute changes, manage stakeholder expectations, and ensure every enhancement is durable. Your contributions will play a vital role in maintaining the smooth and scalable operation of our financial processes.We value engineers who take initiative, enjoy tackling complex challenges, and excel at clarifying ambiguous requirements. You will thrive in our environment if you are motivated by creating systems that deliver tangible business impact, can articulate technical concepts to non-technical partners, and take pride in producing high-quality, well-designed code.At abound, you will immerse yourself in a culture that champions autonomy, curiosity, and continuous improvement. You will engage with a modern Python-based tech stack, gain in-depth insights into how financial operations function in a rapidly growing lending business, and have the opportunity to enact significant technical changes in collaboration with experienced stakeholders.

Role OverviewWe are seeking a talented Software Engineer specializing in Python to join our team at cfpenergy. In this pivotal role, you will be instrumental in designing, developing, and scaling our data infrastructure, which is crucial for driving our products and informed decision-making processes. You will help define the flow of data throughout the organization, ensuring it is efficiently ingested, processed, and transformed into actionable insights. Collaborating with developers, analysts, and trading teams, you will ensure our data is not only reliable and accessible but also future-proof. This position seamlessly blends hands-on engineering with architectural insight, allowing you to participate in design discussions, enhance data pipelines, and guide our technical strategy. We are looking for someone who takes initiative, relishes solving intricate problems, and can work collaboratively across various systems and teams to create meaningful impact.Key ResponsibilitiesArchitect, develop, and uphold robust applications within a domain-driven ecosystem.Engage in architectural dialogues and influence the long-term technical strategy.Manage tasks from requirements gathering to completion, showcasing creativity and adhering to coding standards.Create well-structured data models and maintain comprehensive documentation in collaboration with your team’s data engineers.Work closely with data engineers, developers, analysts, and trading teams to gather requirements and deliver dependable, well-architected data solutions.Identify and implement enhancements to performance, automation of manual tasks, and improvements in data quality and reliability across systems.Core Skills & ExperiencesCollaborative mindset: We seek individuals who are not only adept but also enjoyable to collaborate with, promoting a positive team culture through open communication.Analytical thinking: Accuracy and performance are central to our operations; your curiosity, structured approach, and meticulous attention to detail will drive every challenge.Problem-solving skills: You should be comfortable navigating complex systems to diagnose root causes while maintaining composure under pressure, striving for elegant, sustainable solutions.Effective communication: Your ability to articulate complex technical concepts clearly will bridge the gap between technical and non-technical teams, ensuring alignment.

IMC Trading is seeking skilled quantitative researchers to craft advanced high to mid-frequency delta one trading strategies and predictive models for the Equities markets. If you are passionate about leveraging Machine Learning in trading to unlock substantial execution advantages and collaborating to elevate our firm to the forefront of the trading industry, then this opportunity is tailored for you. With a rich history of competitive advantages in market access, global presence, options expertise, and low latency, IMC has significantly benefited from the rapid advancements in Machine Learning. Our focus is on tackling some of the most compelling and transformative challenges in the trading landscape. At IMC, we believe in teamwork, open idea sharing, and collaboration across various disciplines, desks, and offices to drive success.

Caxton Associates, established in 1983, is a global trading and investment firm with offices in London, New York, Singapore, Monaco, Dubai, and Bengaluru. The company manages both client and proprietary capital, offering a variety of investment products for different investor needs. Caxton operates with a multi-portfolio manager approach and specializes in discretionary global macro investing, applying expertise across asset classes and markets. Role overview The Software Development team at Caxton Associates in London is looking for a Python LLM Engineer. This team builds scalable, reusable, and efficient distributed services and applications that support users across the firm. What you will do Create and deploy Python workflows that use large language models (LLMs), integrating them into current business processes. Implement retrieval-augmented generation (RAG) and related architectures to ensure LLM outputs are grounded in proprietary data. Design secure data integrations by connecting models to internal knowledge bases, APIs, and document repositories. Automate research and operational tasks to improve efficiency and quality within the firm. Develop and maintain reliable data pipelines for document parsing, enrichment, and structured data extraction. Write maintainable, testable Python code to support scalable AI services in production environments. Run pilots and proofs of concept to showcase value and establish best practices for AI adoption at Caxton. Troubleshoot and enhance model performance, retrieval accuracy, and infrastructure reliability. Stay up to date with advances in LLMs, prompt engineering, and applied machine learning; evaluate and prototype new approaches. Location This role is based in London, England, United Kingdom.

Join a dynamic and rapidly growing financial headhunting firm with offices in London and Hong Kong, specializing in private equity recruitment.Our client, a vibrant and innovative headhunting company established just two years ago, has quickly built an impressive client portfolio including industry giants such as Goldman Sachs and Barclays. This presents a unique opportunity to collaborate with leading firms in the financial sector. The youthful nature of the company offers significant prospects for swift career advancement as the team expands, allowing for early leadership opportunities. With a commission-based structure, there is also considerable potential for high earnings. Additional benefits include:Student debt repayment programsUncapped commission potentialGenerous annual leaveThe initial phase of the role focuses on resource management, providing comprehensive insights into market dynamics essential for success. Responsibilities during this phase include:Conducting thorough market researchCreating candidate listsSupporting senior consultantsUpon successful completion of the probationary period, you will transition into a consultant role, expanding your responsibilities from candidate management to direct client engagement. This shift will enhance your exposure to banks and private equity firms, making the role more complex and rewarding as you take on account management duties. This position is ideal for individuals who thrive in:A fast-paced work environmentA target-driven cultureCompetitive interactions with colleagues

Join Nevis: Pioneering AI Wealth ManagementAt Nevis, we're on a mission to revolutionize wealth management through cutting-edge AI technology. Our innovative platform is designed to empower financial advisors, enabling them to enhance client relationships while our AI automates time-consuming workflows. As we build the future of wealth management, we have secured $40 million in funding from top-tier investors including Sequoia Capital, ICONIQ, and Ribbit, and are led by a talented team of ex-Revolut executives.Your Impact as a Software Engineer (Python)We are seeking a talented Software Engineer (Python) who is passionate about developing robust AI-driven platforms. In this key role, you will design and implement Python-based systems and services that drive intelligent workflows for leading financial firms. You will work on applied AI, data pipelines, model execution frameworks, and backend components that support our innovative AI products.If you thrive in a fast-paced environment, love creating production-grade AI solutions, and are eager to see your ideas come to life quickly, Nevis is the place for you. You'll join a world-class engineering team dedicated to building scalable AI systems.Your ResponsibilitiesDesign and enhance Nevis’ Python-based AI platform, enabling core workflows and agentic automation.Develop model orchestration, data processing pipelines, and execution runtimes for our applied AI features.Create scalable APIs and services that facilitate rapid development and deployment of AI systems.Architect systems for model inference, prompt execution, and multi-step agent reasoning.Maintain high engineering standards through clean code practices and CI/CD workflows.Collaborate with AI engineers, product managers, and designers to deliver impactful features used by thousands.Take ownership of greenfield AI platform components, from architecture to production.Engage in design and code reviews that shape Nevis’ technical future.

About Us: Mentis AI operates at the cutting-edge of private markets and frontier AI technology. Our team melds deep expertise from institutional finance (including firms like Lazard and Partners Group) with advanced machine learning and AI research. With a presence in both London and San Francisco, we partner with top AI laboratories to enhance decision-making processes in critical financial environments.The Opportunity: As AI becomes integral to investment practices, this residency offers private equity and growth equity experts a unique chance to gain firsthand experience in the development, assessment, and enhancement of sophisticated AI systems. Your responsibilities will include:Developing expert benchmarks: Construct and validate financial models and return analyses used in evaluating advanced AI systems.Testing model reasoning: Identify and address weaknesses in AI-generated analyses, focusing on logic, assumptions, and market intuition.Creating frameworks: Convert investor strategies for navigating uncertainty and structuring transactions into challenges that test AI reasoning capabilities.Assessing human versus machine judgment: Systematically compare professional investment analysis with AI outputs.Why Join Us?Be one of the first investment professionals to directly engage with how frontier AI models interpret private markets.Enhance your profile in the intersection of investing and AI, preparing you for roles in funds, AI firms, or entrepreneurial ventures.Gain practical insights into the transformative impact of AI on deal workflows, from screening and due diligence to portfolio management and exit strategies.Who We Seek:3 to 7 years of experience in private equity or growth equity at a respected large-cap or upper-middle-market fund in Europe or the U.S.Positioned as an Associate, VP, or Principal; industry-agnostic.Exceptional modeling and valuation skills with comprehensive experience throughout the deal lifecycle.A genuine passion for AI and its application in finance.

Talan is looking for a Python Developer to join its London office. This position centers on building and maintaining applications for a variety of client projects. The work includes both new software development and ongoing support, with a strong emphasis on delivering solutions that meet business needs. Key responsibilities Design, develop, and maintain Python-based applications Collaborate with colleagues across different teams to achieve project objectives Take part in planning and implementing technical solutions Support existing systems and address issues as they come up Role overview This role involves hands-on development as well as troubleshooting and supporting live systems. Working in a collaborative environment, the Python Developer will contribute to projects that serve a diverse group of clients.

Role overview LMAX seeks a C++ and Python Developer to join its Middle-Office Team in London. This group works alongside infrastructure, research, and treasury teams to advance trade reconciliation, back-testing frameworks, and trading monitoring systems. The main focus lies in data engineering and building trading systems from the ground up. Prior experience in finance or trading is not required for this position. Team approach The team operates at the intersection of C++ and Python. C++ powers the infrastructure, while Python supports research tasks like analysis and automation. Bridging these languages is central to the role, supporting integration and collaboration across disciplines. Performance and optimization Managing financial data introduces technical challenges, particularly around throughput. The team values software performance but never at the expense of maintainability. Developers work closely with the codebase to understand, optimize, and refine systems. Testing practices Comprehensive testing is a core part of the workflow. The team maintains test suites that include unit tests and full end-to-end simulations. Continuous integration runs these tests every 15 minutes, ensuring rapid feedback and no overnight waits for results. What you will do Write clear, well-structured, and thoroughly tested code in C++ and Python Develop software solutions that handle high throughput Pair program to share knowledge and prevent silos Design and implement features to enhance safety, performance, and usability Create interface code connecting C++ and Python using pybind Requirements Strong C++ skills, especially with modern C++ on Linux or UNIX Python development experience, including Numpy, Pandas, and SQL Experience with automated testing for both C++ and Python Ability to interpret business requirements and build effective systems Skilled at designing simple, well-documented, and maintainable solutions Comfortable working independently with minimal supervision No finance or trading background needed Bonus skills Experience with test-driven development and testing across multiple system levels Location This position is based in London, England, United Kingdom.