Risk Controller – Trading Focus (m/f/d)

BlueCrest Capital Management

Department overview: The Front Office AI Technology Team sits within the Front Office Technology department and provides a shared capability for the development, operation, and adoption of AI across the firm. The team is responsible for building and supporting enterprise‑grade AI capabilities, including LLM‑powered applications, retrieval‑augmented generation (RAG) systems, agent‑assisted workflows, and scalable internal AI tooling. We develop the core AI foundations required to deploy AI safely and at scale, while also working closely with the business to ensure these capabilities are used effectively in day‑to‑day workflows. This includes supporting experimentation, guiding practical adoption, and helping teams embed AI into real processes where it delivers measurable benefit. A key focus of The Front Office AI Technology Team is ensuring that AI solutions are reliable, secure, and aligned with the firm’s control and risk frameworks. The team balances innovation with discipline, providing common tooling, patterns, and guidance that allow AI to be used consistently and responsibly across research and operational contexts. Role overview: Key Responsibilities: AI Enablement & Integration * Act as a go‑to point of contact for teams who want to understand what AI tools are available and how to use them effectively. * Run workshops, demos, and hands‑on sessions that help users understand the benefit of using LLMs and emerging AI related technologies both for business users and more technical teams. * Support day‑to‑day adoption of Microsoft Copilot, ChatGPT and Claude alongside other approved AI tools by embedding them into real workflows. Training & Best Practice * Deliver practical training on prompt engineering, AI limitations, and good usage patterns for both technical and non‑technical audiences. * Create and maintain reusable materials such as prompt examples/libraries, walkthroughs, and short guidance notes. * Continuously refine training content based on user feedback and emerging best practice. Understanding Business Processes * Spend time with teams to understand their existing processes, pain points, and where work is slow, repetitive, or manual. * Help teams articulate problems clearly enough that AI tooling can be applied sensibly. * Map simple end‑to‑end workflows and identify realistic opportunities for AI assistance. Light Prototyping & Applied AI * Build simple prototypes or proof‑of‑concept workflows using Python, internal libraries, or approved AI APIs alongside tools such as MS Copilot Studio. * Pair with engineers or platform teams when ideas move beyond quick prototypes. * Focus on small, shippable improvements rather than large, speculative solutions. Feedback & Continuous Improvement * Collect structured feedback on what works, what doesn’t, and where users get stuck. * Share insights with The Front Office AI Tech Team, governance, and Infrastructure Tech teams to help guide tooling, documentation, and prioritisation. * Help surface recurring themes rather than one‑off requests. Adoption Metrics, Reporting & Insight * Support the definition and tracking of adoption metrics for approved internal AI tools. * Work with Front Office Technology and platform teams to help maintain simple reporting and dashboards that show usage and engagement patterns (for example: active users, frequency of use, and common use cases). * Monitor adoption trends and identify areas of low engagement or friction that may require additional enablement, training, or tooling changes. * Combine quantitative usage data with qualitative user feedback to build a clear view of how AI tools are being used in practice. * Share regular adoption insights with relevant stakeholders to inform prioritisation of training materials, documentation, and incremental improvements to AI tooling. Why this role exists: The firm is investing heavily in modern AI platforms and tools, but technology alone does not create value. Real impact comes when teams change how they work. This role exists to help front‑office and technology teams translate AI capability into everyday practice, replacing one‑off experimentation with well‑understood patterns, better habits, and repeatable workflows. Through hands‑on enablement, training, and applied problem‑solving, the AI Integration Lead ensures that AI use is both effective and appropriately governed, allowing teams to move faster without increasing operational or compliance risk. What makes this role different: This role offers the chance to work directly with trading desks, providing a rare and exciting opportunity to gain direct front-office exposure. You’ll work at the intersection of business context and applied AI: understanding how teams operate, then helping them adopt approved AI tools safely and effectively through training, workflow mapping, and lightweight prototyping. It’s ideal for someone who enjoys ambiguity, values practical impact over hype, and wants to see their work change how teams operate day-to-day.   Skills & Experience Essential: * Demonstrated interest in evolving applied AI technologies and their use in improving real business processes in a practical and controlled manner. * Experience delivering or supporting training, workshops, or enablement sessions for technical and non‑technical audiences. * Hands‑on experience using modern AI tools beyond typical end‑user interaction, including:                 - Practical understanding of prompt engineering techniques and common LLM failure modes                 - Experience grounding AI outputs in data (e.g. through document retrieval, APIs, MCP or structured context rather than free‑text prompting alone)                 - Exposure to designing AI‑assisted workflows that support repeatable tasks rather than one‑off interactions. * Familiarity with enterprise and low‑code AI tooling, such as Microsoft Power Apps, Power Automate, Copilot Studio, Claude Cowork, or similar workflow and AI enablement platforms. * Practical experience assessing AI output quality and limitations for real business use cases, and iterating prompts or workflows to improve reliability. * Comfortable working with Python at a practical level (scripts, APIs, data handling), without requiring production‑grade engineering expertise. * Strong communication skills, with the ability to explain technical concepts clearly to non‑technical users. * Comfortable operating in environments with evolving requirements, and able to iterate pragmatically rather than waiting for complete specifications. Desirable: * Familiarity with retrieval‑augmented generation (RAG) concepts at a practical level, such as working with internal documents or structured reference data. * Experience designing or supporting simple AI‑assisted workflows for document handling, summarisation, data extraction, or knowledge access. * Awareness of responsible AI considerations in regulated environments, including basic data handling, validation of outputs, and appropriate human review. * Exposure to lightweight agent‑style patterns (e.g. tool use, structured outputs, task decomposition), without requiring ownership of complex agent frameworks. About you: You are a bright and approachable individual who works well with others and enjoys understanding how different teams operate in practice. You are comfortable engaging with both technical and non‑technical stakeholders and are able to communicate clearly and pragmatically. Alongside your technical experience, you may bring experience from a client‑facing or commercially oriented role earlier in your career, which helps you understand business priorities and frame solutions in a way that resonates with users. You have a strong interest in applied AI and a genuine curiosity about how emerging tools can improve the way people work. You are motivated to explore new capabilities, experiment hands‑on, and understand where AI can add value in real workflows. Your approach is practical rather than theoretical, and you are focused on achievable improvements rather than technology for its own sake. You take a considered and responsible approach to AI integration. You are aware of the limitations of AI tools and the importance of appropriate controls, validation, and oversight, particularly in a regulated environment. You are comfortable discussing both the benefits and constraints of AI with users, helping set realistic expectations and encouraging sensible use. You work well in collaborative environments where priorities and requirements evolve. You are adaptable, open to feedback, and comfortable learning by doing. You take satisfaction from helping others build confidence with new tools and from supporting inte across teams, bringing a constructive and measured mindset to your work.   BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

Databricks

Req ID: FEQ427R117 Location: Tokyo, Japan  At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Financial Services, we help leading banks, insurers, securities firms, payment providers, and asset managers turn data into a strategic asset – improving customer experience, strengthening risk management, and driving profitable growth. You will be the senior technical leader for a set of strategic FSI accounts in Japan, using your executive‑level technical credibility and Financial Services expertise to shape and execute their data and AI strategy. Reporting to: Manager, Field Engineering – Financial Services, Japan THE IMPACT YOU WILL HAVE * Own technical strategy for key FSI customers in Japan, defining the target architecture and roadmap for their Databricks lakehouse and AI platform. * Lead high‑impact evaluations and designs for priority FSI use cases (e.g., fraud/AML, risk, regulatory reporting, SIEM, Hyper Personalization, trading and investment analytics). * Connect architecture to outcomes, showing how Databricks reduces risk, improves efficiency, and unlocks new revenue, then using those wins to drive broader expansion. * Shape the ecosystem, working closely with cloud providers, global/local SIs, and fintech partners to deliver end‑to‑end solutions on Databricks. * Raise the bar regionally, mentoring other Solutions Architects and contributing reusable reference architectures, patterns, and customer stories for Japan FSI. WHAT WE LOOK FOR * 10+ years in data platforms, analytics, or cloud architecture, including 6+ years working with large Financial Services institutions in Japan. * Proven ability to influence C‑level and director‑level stakeholders (CIO, CDO, CRO, heads of data/AI) and lead high‑stakes technical discussions in Japanese. * Deep hands‑on background in at least one area: Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture, with a strong architecture / platform focus. * Experience designing data and analytics solutions for FSI use cases (e.g., risk, fraud/AML, regulatory reporting, SIEM, customer analytics, or trading/investment). * Strong understanding of Japan FSI landscape, including typical organization structures, how decisions are made, and the role of SIs and cloud providers. * Outstanding communication and storytelling skills, able to explain complex architectures to both technical teams and senior business stakeholders. * Language: Native‑level Japanese and business‑level English. If you’re excited about helping Japan’s Financial Services use data and AI to deliver better outcomes – while setting the technical bar for our GTM in Japan – we’d love to hear from you.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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 our 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 As a Senior Security Engineer, you will play a hands-on role in building, operating, uplifting, and evolving core security platforms and controls across hybrid, multicloud, and on-prem environments. You will act as a subject matter expert for key security solutions, ensuring security controls are observable, scalable, and well integrated across the wider technology ecosystem. You will actively partner with stakeholders, build strong relationships with engineering, infrastructure, and wider business teams, and collaborate across functions to help shape a modern, scalable security function from the ground up. Key Responsibilities * Perform the hands-on implementation, operation, and continuous improvement of core security platforms and key security controls, including responsibility for platform health, effectiveness, and ongoing evolution * Act as subject matter expert for assigned security solutions, championing their roadmap, integration, and operational performance * Support hands-on BAU operation of security products within a global, 24/7 follow-the-sun Security Operations model, including participation in rotational weekend coverage, in depth troubleshooting, and responding to security events that impact system availability, stability, or operational performance, acting as an escalation point for complex issues * Design and implement new security controls and technologies to strengthen the organisation’s cyber resilience * Drive security solution observability and monitoring, ensuring appropriate coverage, alerting, and operational visibility * Implement automated and scalable security solutions, processes, and controls across hybrid, multi cloud, and on prem environments to improve resilience and reduce manual effort * Oversee and support security changes in a controlled and well communicated manner * Build, maintain, and continuously improve operational runbooks, playbooks, and procedures to support reliable day to day operations * Partner with engineering, infrastructure, and wider business stakeholders to embed practical, scalable security controls that support fast moving delivery models * Contribute to the design, implementation, and enforcement of security policies, standards, and best practices * Position security as a business enabler by aligning controls with operational effectiveness and supporting innovation without compromising protection * Mentor and support other engineers through technical guidance, knowledge sharing, and practical leadership * To be considered a good cultural fit, you should have: * Humble, curious and hungry to learn * Flexible and reliable team player who enjoys working in a collaborative environment * Strong communication and interpersonal skills will be needed to collaborate with colleagues across the firm globally Your Present Skillset: * Minimum 10 years’ experience in a security engineering or closely related role * Strong hands-on experience operating and uplifting security technologies including firewalls, EDR, identity solutions, vulnerability management platforms, SASE, CASB, proxies, SIEM and security analytics, cloud security controls, and automation driven security platforms * Strong technical foundations across networking, operating systems, cloud platforms, and security engineering concepts * Solid understanding of major network protocols across multiple layers of the stack * Experience protecting and safeguarding data and assets at both the network and platform layers * Proven hands-on experience operating security controls and security operations capabilities in production environments * Ability to analyse network traffic and troubleshoot complex issues using tools such as tcpdump and Wireshark * Strong understanding of offensive security from an adversary perspective, including how attacks manifest and how controls fail in real world environments * Demonstrated ability to identify and respond to threats in distributed environments, particularly where system availability, stability, or operational performance is impacted * Programming or scripting skills in at least one high level language, with a strong focus on automation and operational efficiency * Strong sense of ownership and accountability, with a track record of driving complex issues through to resolution * Broad understanding of security principles and technologies spanning product and software security, cloud platforms, and business applications * Experience securing both Windows and Linux based systems * Extensive experience with one or more public cloud platforms such as AWS, Microsoft Azure, or Alibaba Cloud, particularly within hybrid environments * In-depth knowledge of threat modelling, risk assessment, and mitigation strategies for largescale, complex systems in fast paced environments * Experience with low latency or performance sensitive financial systems is an advantage QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.