Risk and Pnl Production Support Engineer

XTX Markets

The Firm   XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.   The Role The OTC Trading Development team is currently looking to hire an experienced developer focused on trading system development.   The Team: * Architects, implements and maintains a diverse set of trading systems: whilst ETFs will be the immediate focus for this position, the team works to build a wide range of systems which span prop trading on venue and OTC liquidity provision platforms across other asset classes (primarily Equities, FX and Crypto). * Receives reference implementations of models from quants, hard control requirements from Risk and Compliance, and system ergonomics requests from Trading Analysts, often working closely with those teams to find the best direction. * Is highly autonomous in how we work, maximising safety and velocity. We build and maintain multiple trading systems with a fraction of the headcount of our competitors, so it's critical we can eliminate bureaucracy. * This will be the team’s first hire in New York. This role will involve working on our ETF trading system. The role will require close platform with stakeholders to the system in NYC e.g. Business Development, as well as with OTC’s developers in London. * There are no out-of-hours support responsibilities involved in this role. * There may be an occasional requirement for travel to our London offices. The Technology:   * Consists of high-performance trading venue integrations, fair value generation, trading algorithms, risk controls and real time UIs implemented from business requirements. * Is predominantly implemented in Kotlin, with limited amounts of C++. Older parts of the codebase may use Python or Java; this is a decreasing minority. * Is tailored to a wide range of latency and throughput requirements. Where necessary we use a thread-per-core architecture, implement large parts of the network stack and integrate with network card APIs directly. Attributes Someone that would be an excellent fit: * Is an experienced coder, with a solid understanding of Computer Science fundamentals. * Has several years of experience working in Kotlin or other object-oriented languages like Java, C++, or C#. * Knows how to build technology quickly and safely using a variety of testing methods. * Unblocks the team with code reviews that prioritise correctness over style preferences. * Has experience in systems with requirements of microseconds per request or gigabits per second per thread. * A well-founded understanding of ETFs is desirable, though we are open to candidates with any domain knowledge, experience or evidence of interest within finance. Benefits * Extensive medical and wellness benefits including gym membership. * Breakfast and lunch provided daily. * Beautiful Hudson Yards office. * 25 days paid holiday per year + statutory holiday and paid sick days. * Generous 401k contributions. * We work 4 days per week in the office, 1 from home unless stated otherwise. The base salary range for this role is between $200,000 to $300,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * Your core objective will be to provide high-touch user support to the global QRT team which trades across all the major EMEA and US markets. * Provide prompt user support for investigations & resolution of any system issues impacting front office trading flows. * Liaise with internal and external teams on a day-to-day basis to provide effective management of the QRT trading infrastructure, resolving issues through to completion. * Support trading platforms on different OS environments – Windows & Linux (Manual trading application, Algorithmic trading platforms, Exchange/FIX connectivity system, and Risk systems). * Ensure all trading components are up and running before the start of each trading day and support the release management process ensuring stability of the production environment. * Provide maintenance and support of static databases and supporting processes. * Develop tools to continuously improve our ability to monitor the trading environment. * Evening/weekend support requirements (normally through remote access). Your present skillset: * >2yrs of Bash, Command Dos, Powershell or Python scripting experience is essential. * Minimum 3yrs in a support role. * Excellent problem solving and highly effective business analytics capabilities required. * Must have a keen focus on ownership of issues and commitment to resolving them. * Excellent written and oral communication skills are essential. * Expert windows desktop and server administration experience is essential. * High level of Linux OS experience is essential. * Expert relational database skills (in order of preference: SQL Server, Postgres) are essential. * Experience of managing the expectations of Front Office traders and senior management is desirable. * Knowledge of Equities, Futures, Commodities and FX asset classes is an advantage. * Knowledge of market data feed handlers and execution feeds is an advantage. * Knowledge of market-making/liquidity provision and algorithmic trading is an advantage.   Base salary range for this position is $150,000 to $220,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.   ABOUT THE ROLE As a Senior Technical Program Manager at Parloa, you will lead the end-to-end delivery of enterprise Agentic AI deployments, owning execution across complex customer implementations from kickoff through go-live and hypercare. You will act as the central delivery owner across customers, internal delivery teams, and external partners, ensuring enterprise programs are delivered successfully, on time, and at scale. This is a highly cross-functional, customer-facing role where you will combine structured program leadership with technical delivery coordination, partnering closely with Forward Deployed Engineers, Agent Architects, Product, Sales, Solution Engineering, and partner organizations to drive successful enterprise AI transformations. You will also play a key role in helping scale Parloa’s delivery organization by driving operational rigor, improving governance processes, and mentoring junior TPMs across the team.   AREAS OF OWNERSHIP ENTERPRISE DELIVERY LEADERSHIP * Own end-to-end delivery across scope, timeline, budget, quality, risks, and dependencies for enterprise AI deployments * Lead implementations from SOW kickoff through design, integration, UAT, production go-live, and hypercare * Drive execution across cross-functional delivery pods consisting of Forward Deployed Engineers, Agent Architects, and partner teams * Maintain project governance across project plans, RAID logs, milestone tracking, risk management, change requests, and escalation handling * Proactively identify delivery risks, resource constraints, and implementation blockers while driving alignment across stakeholders CUSTOMER & STAKEHOLDER MANAGEMENT * Serve as the primary delivery contact for enterprise customer stakeholders, including executive sponsors and technical leaders * Translate business objectives into structured implementation plans with clear ownership, milestones, and success criteria * Lead governance meetings, executive updates, steering committees, UAT reviews, and go-live readiness discussions * Manage customer escalations and maintain delivery momentum across complex, high-visibility programs * Partner closely with Engagement Management post-go-live to support long-term adoption and expansion opportunities TECHNICAL & CROSS-FUNCTIONAL COORDINATION * Coordinate technical delivery across integrations, infrastructure, environments, testing, and deployment readiness * Partner closely with Product, Sales, Solution Engineering, Support, and Deployment Strategists to ensure smooth customer execution * Support pre-sales activities including delivery scoping, resource estimation, SOW reviews, and implementation risk assessment * Manage co-delivery execution with SIs, GSIs, BPOs, and external implementation partners * Ensure technical and operational dependencies are aligned across all delivery workstreams DELIVERY EXCELLENCE & OPERATIONAL RIGOR * Apply Agile, Waterfall, or Hybrid methodologies based on customer needs and implementation complexity * Drive consistency across delivery governance, implementation standards, documentation, runbooks, and operational processes * Ensure compliance, security, and data governance requirements are incorporated into delivery planning * Mentor junior TPMs and help establish scalable delivery best practices across the broader organization   WHAT SUCCESS LOOKS LIKE * Enterprise Agentic AI deployments launch successfully, on time, and with strong customer outcomes * Customers, partners, and internal teams trust you to drive clarity, accountability, and execution across complex enterprise programs * Risks, dependencies, escalations, and delivery challenges are proactively managed before impacting implementation success * Delivery processes, governance frameworks, and TPM best practices scale effectively as Parloa continues to grow   WHO YOU ARE * 6+ years of experience in technical program management, enterprise software delivery, consulting, professional services, or customer implementations * Proven experience leading complex enterprise deployments involving integrations, multiple stakeholders, and cross-functional delivery teams * Strong technical credibility and comfort discussing integrations, APIs, infrastructure dependencies, and implementation trade-offs * Experience managing enterprise programs across Agile, Waterfall, and Hybrid delivery methodologies * Strong stakeholder management and executive communication skills with the ability to influence alignment across technical and business teams * Highly organized, execution-oriented, and comfortable operating in fast-paced, ambiguous environments * Strong ownership mindset with the ability to proactively drive issues to resolution and maintain delivery momentum * Experience mentoring junior team members or helping establish scalable delivery processes and governance standards NICE TO HAVE * Experience with conversational AI, LLMs, or enterprise AI deployments * Exposure to CCaaS platforms, APIs, or enterprise integrations such as Genesys, Five9, NICE, or Avaya * Experience supporting pre-sales scoping, SOW development, resource estimation, or delivery planning * PMP, Scrum Master, Agile, or related certifications * Experience working with SIs, GSIs, BPOs, or multi-region enterprise delivery programs * Passion for AI tooling, operational excellence, and delivery process optimization   OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Case Study & Stakeholder Interview(s) → Bar Raiser   WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.   Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package. Salary Range $150,000—$170,000 USD   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.