Senior Software Engineer (Python) | Trading Technology Our client is a leading global proprietary trading firm operating at the intersection of technology, quantitative research, and financial markets. With a strong engineering culture and a long-term outlook on technology investment, they build highly performant, research-driven trading systems that operate at scale across global markets. They are seeking a Senior Software Engineer (Python) to join a core options trading strategy development team in Dublin. This role sits close to trading and quantitative research, building critical platforms that underpin research, analysis, and live trading. The Role As a Senior Software Engineer, you will be responsible for the ongoing development, maintenance, and evolution of a Python-based quantitative research and trading platform . This platform enables researchers and traders to rapidly analyse data, test ideas, and deploy new trading strategies in a production environment. You will work closely with Traders, Quantitative Researchers, and Strategy Developers , contributing directly to new trading capabilities and improving the performance, stability, and usability of core systems. Key Responsibilities Design, build, and maintain a Python-based platform supporting quantitative research and trading Continuously improve system stability, performance, and usability Collaborate directly with traders and quantitative researchers to enable new trading behaviours and workflows Work with large-scale datasets, building and maintaining production-grade data pipelines Develop and support distributed, message-based systems used in live trading environments Participate in the deployment, monitoring, and support of production systems Contribute ideas and technical solutions to improve processes, tooling, and architecture Required Background Degree in Computer Science, Engineering, or a related technical/scientific discipline 5+ years of professional Python development experience Strong experience with the Python scientific ecosystem (e.g. NumPy, pandas, SciPy) Experience building server-side software and distributed, message-based systems Exposure to web services and Python development frameworks Experience across the full software development lifecycle Familiarity with agile development practices What They're Looking For A pragmatic engineer who enjoys working close to the business and seeing real-world impact Someone comfortable owning systems and driving continuous improvement Strong communication skills and the ability to work effectively with non-engineering stakeholders High attention to detail and the ability to adapt to changing priorities A willingness to learn new technologies and propose innovative technical solutions Self‑motivated, accountable, and comfortable working in a fast‑paced trading environment Why Join? Work directly on systems that influence real-time trading decisions Collaborate with top-tier traders and quantitative researchers Operate in a meritocratic, low-bureaucracy engineering culture Tackle complex technical and data challenges at scale Long‑term, stable environment with significant investment in technology Apply Now! Dublin, County Dublin, Ireland Referrals increase your chances of interviewing at Selby Jennings by 2x Job Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Finance Industries: Capital Markets, Financial Services, and Investment Management #J-18808-Ljbffr
A global proprietary trading firm in Dublin is seeking a Senior Software Engineer (Python) to join their core trading strategy development team. This role involves the ongoing development of a Python-based quantitative research platform, enabling rapid analysis and deployment of trading strategies. Candidates should have over 5 years of Python experience and a solid understanding of the scientific ecosystem. The position offers an opportunity to influence real-time trading decisions and collaborate with leading traders and researchers. #J-18808-Ljbffr
Contract Length: 6 months contract - could move to a permanent position Coordinate end-to-end monthly payroll processing across EMEA and APAC , partnering closely with external payroll vendors to ensure accuracy and timeliness. Review, validate, and approve payroll inputs including new hires, leavers, salary changes, bonuses, overtime, benefits, and tax details . Perform detailed gross-to-net checks and payroll reconciliations , resolving variances prior to processing. Act as the primary point of contact for employee and stakeholder payroll queries, providing clear guidance and timely resolution. Ensure full compliance with local statutory and regulatory requirements (tax, social security, pensions, and other country-specific obligations). Maintain accurate and up-to-date employee records across HRIS and payroll systems , ensuring adherence to GDPR and data privacy standards . Support internal and external payroll audits , reporting requirements, and documentation requests. Partner with Finance on payroll funding, payroll journals, reconciliations, and month‑end close activities . Monitor and stay current with payroll legislation and regulatory changes across all supported countries. Contribute to payroll process improvements and system enhancements , driving efficiency, accuracy, and scalability. 3+ years’ experience in multi‑country payroll, ideally across both EMEA and APAC regions. Solid understanding of payroll legislation in key countries (e.g. UK, Germany, Switzerland, Ireland, Italy, etc.). Experience working with third‑party payroll providers. Accounting experience with NetSuite or similar ERP. Strong attention to detail and ability to handle sensitive data with discretion. Proficiency in Excel (v‑lookups, Sumif, x‑lookup) Familiarity with HRIS systems (e.g. UKG, ADP, SAP SuccessFactors). Experience with multi‑vendor relationship model (TMF, Apex, Merry Mullen, Vistra etc.) Excellent communication and interpersonal skills. Ability to work independently and manage deadlines across multiple time zones. Payroll certification (e.g. CIPP, APA, or equivalent). Experience with system implementation or payroll migrations. Understanding of international mobility and expatriate payrolls. Accounting knowledge and understanding from a payroll accounting perspective. #J-18808-Ljbffr
A leading quantitative trading firm is seeking a Trade Surveillance Analyst to join its EMEA Compliance team in Dublin. This role focuses on market abuse surveillance and enhancing the firm's surveillance framework, requiring 3+ years' experience in trade surveillance, strong knowledge of MAR and MiFID II, and analytical skills. The successful candidate will collaborate closely with Trading, Technology, and Compliance teams to ensure robustness of surveillance systems, with responsibilities ranging from investigating alerts to enhancing surveillance rules. #J-18808-Ljbffr
A leading quantitative trading firm in Dublin is seeking an Institutional ETF Trading & Execution Analyst to enhance their front-office execution team. This role combines real-time decision-making with analytical problem-solving in a highly quantitative environment. Responsibilities include executing ETF trades, analyzing trading data, and engaging with institutional clients. Candidates should possess strong quantitative skills, programming experience in Python, and exceptional attention to detail. This role offers an opportunity to impact trading operations significantly. #J-18808-Ljbffr
A leading quantitative trading firm is seeking a Trade Surveillance Analyst to join its EMEA Compliance team. Based on the trading floor, this role focuses on market abuse surveillance and the ongoing development and enhancement of the firm's surveillance framework. The successful candidate will work closely with Trading, Technology, and Compliance teams to ensure surveillance systems are robust, risk‑focused, and aligned with evolving regulatory expectations. Location London or Dublin Key Responsibilities Develop a strong understanding of desk structures and trading strategies to support risk‑based and commercially aware surveillance Review, triage, and investigate trade surveillance alerts relating to potential market abuse Conduct investigations into suspicious trading behaviour and contribute to STOR reporting where required Enhance and recalibrate surveillance rules to improve effectiveness and reduce false positives Ensure alignment of surveillance frameworks with MAR, MiFID II, and relevant regulatory guidance Partner with Technology and Trading teams to prioritise and deliver system enhancements Participate in UAT, data quality reviews, and system logic validation Support ongoing maintenance of the surveillance framework, including documentation and issue resolution Contribute to cross‑jurisdictional surveillance coverage where applicable Candidate Requirements Essential Approximately 3+ years' experience in trade surveillance with a strong focus on market abuse Strong working knowledge of MAR and MiFID II Proven experience reviewing alerts and conducting market abuse investigations Strong analytical skills with the ability to assess trading behaviour in context Desirable Experience investigating typologies such as spoofing, layering, momentum ignition, or insider dealing Experience developing, calibrating, or optimising surveillance rules Familiarity with listed products, including derivatives Experience working closely with trading desks Experience using data analysis tools such as Excel or SQL Key Attributes Detail‑oriented with a structured and methodical approach Strong written communication skills, including investigation summaries and regulatory reports Ability to manage competing priorities in a fast‑paced trading environment Collaborative team player with confidence engaging traders, technologists, and senior stakeholders Comfortable operating close to the trading floor #J-18808-Ljbffr
Overview A leading quantitative trading firm is seeking an Institutional ETF Trading & Execution Analyst to join its front‑office execution team. This role supports institutional ETF trading activity across global markets and sits at the intersection of trading, technology, data, and client interaction. The position combines real‑time decision making with analytical problem‑solving and continuous process improvement in a highly quantitative environment. Key Responsibilities Trade Execution & Real‑Time Decision Making: Agree and execute ETF trades with institutional clients using structured internal pricing frameworks; coordinate closely with trading teams to ensure accurate execution outcomes; manage the full trade lifecycle from pre‑trade through execution to post‑trade processing; operate in a time‑sensitive environment where precision, discipline, and attention to detail are critical; maintain exceptionally high accuracy standards, recognising that small errors can have material market impact Data Analysis & Workflow Optimisation: Analyse trading and operational data to identify inefficiencies and areas for improvement; develop scripts and tools to automate workflows, improve monitoring, and reduce manual processes; contribute to the design and build‑out of scalable execution and operational processes; partner with development and technology teams on system enhancements and tooling; apply strong analytical rigour when handling and interpreting structured datasets Client & Stakeholder Interaction: Work directly with institutional clients alongside Sales coverage; clearly explain execution outcomes and respond to technical or operational queries; coordinate across trading, operations, sales, and technology teams; act as a communication bridge between technical and commercial stakeholders; ensure clarity, alignment, and precision in all interactions Candidate Requirements Essential Strong quantitative problem‑solving ability Practical programming experience (beginner to intermediate) in Python Comfortable working with structured datasets Ability to build small tools, scripts, or analytical workflows Exceptional attention to detail and operational discipline Strong communication skills with the ability to explain complex concepts clearly Desirable Prior experience in financial markets or trading environments Exposure to ETFs beneficial but not required Additional language skills Experience working in technology‑driven or quantitative teams Personal Attributes Calm and precise under pressure Highly organised with strong ownership mindset Curious and improvement‑oriented Comfortable operating across multiple teams and priorities Commercially aware with strong judgement #J-18808-Ljbffr
