Treasury Trader - Japanese Repo

Auto Trader

ABOUT US You've probably heard of Autotrader, but do you know what we're all about? We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans.  In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously.    At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.  Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.  ABOUT THE JOB We’re looking for a Tax & Treasury Manager to join the Group Finance function within our finance team. We’re happy to welcome applications from people who would be looking for a full or part time role.   Reporting into the Group Financial Controller, the role is responsible for managing the corporation tax and VAT compliance for the Group and supporting the business in providing clear, timely, relevant and business focused advice.  The role split is roughly 70/30 between Tax and Treasury responsibilities. You don’t need to have prior Treasury experience to be considered for this role but have an appreciation and appetite to learn it as part of the job. Responsibilities will involve maintaining the relationship with HMRC, including ensuring compliance with filing obligations primarily across corporation tax and VAT, managing the Group’s business risk review and tax payments.  You will also need to provide tax note disclosures for annual accounts under IFRS. The Group is not complex from a VAT or employee tax perspective but the role requires awareness of these taxes and potential risks and opportunities. It is essential that candidates have excellent organisational skills as the role will require a constant level of output throughout the year to ensure that deadlines are achieved. The role also requires management of the Group’s treasury function, involving maintaining the Group’s short term cash flow forecasting model and providing funding recommendations. WHAT WE'RE LOOKING FOR Essential: * Recent demonstrable experience of working in a Corporate Tax Management position or a Manager position within a FTSE250 / Big4 / Top 10. * ACA/ATT and CTA qualified * Up to date knowledge of relevant corporate tax laws and working knowledge of other taxes * Recent experience of tax accounting for consolidated groups at a Manager level * Tax accounting experience under IFRS * Corporate Tax Advisory skills * Strong time management skills * Excellent data management skills to ensure a clear audit trail of all calculations * Ability to forge strong professional relations * Confidence to liaise with stakeholders at every level across the business and communicate complex & technical matters in plain English Preferable: * VAT experience/knowledge desirable. * Strong Excel skills * Experience with OneSource During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further. BENEFITS We’re offering a salary of £50,000 – £60,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.  You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve. That’s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.  We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.   On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.  Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad. #LI-MJ1 #LI-Hybrid

Luno

ABOUT US: Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly. Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards.  Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.   THE ROLE IN A NUTSHELL: We are looking for an experienced and driven OTC sales person to be a key part of our APAC OTC Sales Trading Team. This is a pure "sales trader" role, needing a persistent business developer who enjoys finding new opportunities, signing new clients, and executing trades with precision and efficiency. You will handle the entire sales and trade execution process, from start to finish, focusing on growing Luno's business client base across the APAC region. This role will be responsible for creating outreach plans, finding potential clients, negotiating detailed multi-product deals, and expertly helping clients through the setup process. You will also be responsible for understanding market dynamics, quoting competitive prices, and managing the execution of large block trades and complex hedging strategies. You must be a proven salesperson with a strong network of business contacts across APAC, comfortable selling complex financial products and good at explaining their value clearly. If you are excited by the sales process and know how to close deals and execute trades in a fast-paced environment, this job is for you.   YOUR MISSION WILL BE: - Qualify and onboard OTC Customers * You’ll be an integral member of the sales team to identify customers who are actively searching for liquidity providers in both the USDT/IDR, BTC/IDR and other crypto space. * Your primary focus will be on customers with large volume demands ($100k+ per week) * Work with the Onboarding and Treasury Analyst teams to successfully onboard these customers - OTC Trading Operations: * Acting as the main point of contact for customers to execute large trades with them e.g. making and receiving OTC quotes to customers as well as sourcing counter-trades. * Ensuring that any anticipated OTC trades are pre-funded or have adequate credit facilities available. * Maintaining strong relationships with traders and institutional customers. * Managing any OTC trade disputes and OTC Working Capital. * Ensure the Analysts and back office are providing timely settlement through well-established and tech-enabled processes. - Execution and Monitoring:   * Execution of trades according to approved trading strategies. * Execution of OTC trades and counter-trades. * Execution of market counter-trades should match counter-trades fall through. * Actively manage the Profit and Loss of the APAC OTC desk against P/L targets and risk limits. - Trading Strategy Development:   * Give input into trading strategies for FX and Crypto assets, with a focus on risk management and maximising profitability.  * Develop and implement trading strategies tailored to the APAC market. - Market Analysis:   * Conduct in-depth analyses of digital asset markets to identify trends, opportunities, and potential risks. * Stay informed about market news, regulatory changes, and other factors affecting digital asset prices. * Collaborate with the Treasury team to incorporate any insights into decisions made across Luno. * Ensure compliance with local regulations and internal risk management policies. - Reporting and Documentation:   * Ensure that Luno maintains accurate records of trades, P/L, risk, and performance metrics. * Generate regular reports for stakeholders, summarising trading activities, performance, and market insights. - Luno capacity build  * Create high-level specifications for improvements to Luno’s Trading and Risk Systems. * Give input into development of automated solutions.  * Evaluate and motivate for improvement of the risk frameworks and risk models in order to adapt to changing market dynamics.   A LITTLE ABOUT YOU: * Minimum of 2 years of trading experience within a brokerage or sell-side OTC trading desk in crypto (preferred), FX, equities or derivatives in Indonesia and/or other regions in APAC.  * Multi-country experience is strongly preferred as there will be an opportunity to grow along with the Luno business.  * Proven track record of onboarding and growing institutional client accounts, and exceeding sales targets. * Derivatives arbitrage knowledge or experience would be a plus. * Ability to adapt to a fast-paced and dynamic trading environment.  * Compliance with regulatory standards and a commitment to ethical trading practices.  * Strong attention to detail and accuracy in trade execution and documentation.  * Excellent interpersonal and communication skills, a strong team player.  * Friendly, transparent, articulate and driven to succeed.  * A passion for crypto. * Proficient in English and Bahasa Indonesia, both written and verbal   PREFERRED QUALIFICATIONS: * Strong understanding of OTC trading, market structure, fiat infrastructure (e.g. local payment rails) and execution strategies. * Familiarity with trading platforms and APIs. * Strong client network in Indonesia and broader APAC region.   LIFE AT LUNO: * Remote but reachable work policy gives you the freedom to choose between working from home or the office. * Plus the option to buy and sell up to 5 days leave * Improve body and mind, with excellent private medical insurance * Access to Learnably and our additional learning platforms for your personal and professional development * 6 months primary care-giver leave * Paw-ternity leave for your furry friend * Annual Inspiration Day in addition to your annual leave which increases based on your length of service!  * A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts * Free lunch and snacks * 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.