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Acquire Me

Acquire Me

www.acquireme.io

3 Jobs

13 Employees

About the Company

We are a specialist technology recruiting firm dedicated to connecting the brightest and best STEM talent into the most exciting opportunities across the world’s most renowned scientific-led quantitative hedge funds, proprietary trading firms and high-growth start-ups. As an organisation, we seek to combine our 20+ years of human expertise in tech recruiting best practice alongside a data-led research-driven methodology to unearth, connect and engage with the most exceptional calibre of technology talent across the industry. Get in touch to learn more about how we can help with your growth plans or the search for your next role. UK: +44 (0)203 393 2490 US: +1 (646)-895-6354

Listed Jobs

Company background Company brand
Company Name
Acquire Me
Job Title
Quantitative Developer - Trading Technology
Job Description
**Job title:** Quantitative Developer – Trading Technology **Role Summary:** Design, develop, and maintain custom software solutions that underpin systematic trading strategies across equities, futures, and FX. Work closely with Quantitative Researchers to translate research ideas into robust, production‑ready algorithms, ensuring the platform’s stability, security, and performance. **Expectations:** - Deliver scalable, high‑performance code for alpha estimation, risk modeling, and back‑testing. - Provide end‑to‑end solutions from data ingestion to live trading and simulation. - Collaborate with research and trading teams to integrate new features and optimize existing flows. - Maintain rigorous data validation, storage, and security standards. **Key Responsibilities:** - Build and extend research infrastructure: data pipelines, statistic engines, risk modules, and simulation frameworks. - Develop and deploy production code for real‑time signal generation, trade execution, and monitoring. - Ensure platform reliability through testing, monitoring, and capacity planning. - Create automated data quality checks and robust storage layers. - Support live trading and paper‑trading environments, including back‑testing and performance analytics. - Work cross‑functionally with product owners to prioritize and scope new features. **Required Skills:** - Strong programming in Python (preferred) or C++ (acceptable). - Experience designing and engineering large‑scale data‑intensive systems. - Familiarity with financial data structures, alpha research, and risk assessment tools. - Solid grasp of software engineering best practices: version control, CI/CD, testing, and code reviews. - Ability to interpret quantitative research requirements and translate them into technical specifications. - Excellent problem‑solving, debugging, and performance tuning abilities. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline. - 3+ years of core engineering experience in a technology firm, hedge fund, trading firm, investment bank, or fintech company. ---
New york city, United states
Hybrid
Junior
04-02-2026
Company background Company brand
Company Name
Acquire Me
Job Title
AI Data Engineer - Systematic Trading
Job Description
**Job Title:** AI Data Engineer – Systematic Trading **Role Summary** Build and maintain scalable data pipelines that feed generative AI models for systematic trading. Collaborate directly with investment teams to translate data challenges into production-ready solutions and enable autonomous AI tool usage after initial deployment. **Expectations** - Deliver high‑impact automation that improves investment decision‑making. - Continuously monitor and optimize data flows to ensure reliability and performance. - Act as a technical advisor to both engineering and non‑technical stakeholders. **Key Responsibilities** - Design, develop, and maintain robust, scalable data pipelines and specialized workflows for AI‑driven investment solutions. - Embed within investment teams to identify AI integration opportunities and translate complex data challenges into technical realities. - Create and promote best‑practice data engineering practices, including shared libraries and feature stores. - Hand over systems that allow teams to maintain and utilize AI tools independently after embedding. - Monitor, troubleshoot, and optimize AI data flows; identify enhancements for the core AI platform. **Required Skills** - Proficiency in Python, C#, Scala, Java, or Go. - Experience with SQL, Pandas/Polars, Snowflake, and vector databases. - Familiarity with generative AI frameworks (LangChain, LlamaIndex) and model‑evaluation tools (MLflow). - Knowledge of infrastructure & orchestration: Docker, Kubernetes; data orchestration: Airflow, Dagster, DBT. - Strong programming and problem‑solving skills, especially for debugging complex, non‑deterministic AI data outputs. - Excellent interpersonal skills to collaborate across technical and investment teams. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field. - Relevant certifications in data engineering, cloud platforms, or AI (e.g., GCP/AWS Certified Data Engineer, ML Engineering) are advantageous.
London, United kingdom
On site
11-02-2026
Company background Company brand
Company Name
Acquire Me
Job Title
Lead AI Engineer
Job Description
**Job Title** Lead AI Engineer **Role Summary** Senior technical leadership role focused on designing AI-driven solutions for financial applications, integrating Large Language Models (LLMs) with production-grade systems to drive innovation and operational scale. **Expectations** - 7+ years of professional software engineering experience owning critical systems. - Expert-level Python proficiency and 2+ years applying LLMs in commercial/industrial settings. - Deep experience deploying applications on Kubernetes and managing data infrastructure. **Key Responsibilities** - Architect, develop, and maintain scalable Python web services and APIs on Kubernetes, integrating LLMs for financial systems. - Own end-to-end development of robust, reusable data assets and APIs supporting firm-wide objectives. - Mentor engineers firm-wide on AI best practices and technical upskilling. - Collaborate with stakeholders to translate business requirements into AI-driven software solutions with enterprise impact. - Lead innovation initiatives to advance AI adoption and technical excellence in a high-performance environment. **Required Skills** - Expert Python development and deployment of high-availability APIs. - Proven LLM implementation experience in production environments (e.g., model integration, fine-tuning). - Kubernetes expertise for scalable infrastructure and orchestration. - Strong data engineering skills (data modeling, pipeline design, or analytics). - Clear communication of technical concepts to non-technical audiences. **Required Education & Certifications** Not specified.
London, United kingdom
On site
Senior
26-02-2026