Location: London
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
QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations.
Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments.
Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment.
Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java.
Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle.
Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments.
Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards.
Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems.
Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment.
Your present skillset
At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale.
Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java.
Strong technical background in software development, system architecture and security tools.
Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage.
Experience working with and securing both Windows and Linux-based systems.
Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment.
In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment.
Experience integrating security scanning tools into CI/CD pipelines and runtime environments.
Experience conducting vendor security reviews and managing third-party security assessments.
Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced environment.
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.
Location: Paris, Zurich
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.
We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration.
We are looking for an experienced
Senior Data Platform Engineer
to join our DevOps team in Paris. This is a
senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team
. This role is
fully on-site
, with a strong focus on ensuring the reliability and scalability of our production data infrastructure.
Your future role within QRT:
This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap.
Your responsibilities will include:
Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.)
Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements
Designing and operating database clusters on Kubernetes (via operators) at scale
Setting standards and best practices for data pipelines (ingestion, transformation, replication)
Driving and maturing Infrastructure-as-Code practices (Terraform, Helm)
Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS)
Establishing standards for Docker images and CI/CD workflows for data services
Defining and maintaining AWS IAM policies, permissions, and security best practices
Leading complex troubleshooting across the stack (databases, OS, storage, networking)
Defining and improving observability practices (metrics, alerting, capacity planning)
Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions
Your present skillset:
8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale
Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making
Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale
Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns
Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS)
Deep understanding of AWS IAM and security best practices
Hands-on experience with Docker and CI/CD pipelines
Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.)
Strong Linux fundamentals and scripting (Python and/or Bash)
Deep understanding of database reliability (replication, backups, failover)
Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements
Strong communication skills, with the ability to influence stakeholders and mentor other engineers
Nice to have:
OLAP / high-throughput systems experience at scale
Experience with VAST Data or similar storage systems
Familiarity with Iceberg, Delta Lake or Hudi
Observability tools (Prometheus, Grafana, OpenTelemetry)
GitOps tools (ArgoCD, Flux)
CKA/CKAD or equivalent deep Kubernetes expertise
Programming in Go, Rust, or Python
Knowledge of Parquet/Arrow and query engines
AWS certifications
Prior experience in a technical lead or staff-level role
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.
Location: London
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.
You will join the Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.
Your Future Role within QRT
Operate, troubleshoot, and enhance large-scale WAN environments to ensure availability and performance.
Design, implement, and support MPLS-based solutions
Configure and maintain routing services across multiple BGP address families.
Design, implement, and troubleshoot multicast services using technologies such as MVPN.
Analyse and validate MPLS label operations and end-to-end forwarding behaviour.
Support TCP/IP-based services and traffic flows across a multi-site network footprint.
Produce and maintain accurate technical documentation, including design artefacts and operational procedures.
Collaborate with engineering and operations stakeholders to progress projects and BAU activities.
Act as an escalation point for complex network issues requiring deep technical investigation.
Your Present Skillset
Strong operational experience with MPLS environments.
Deep knowledge of:
BGP (including EVPN, VPNv4, IPv4)
MPLS forwarding and label distribution
Multicast and MVPN
Proficiency with at least one major routing platform (e.g., Arista, Cisco).
Proven ability to troubleshoot complex MPLS, routing, and forwarding behaviour.
Strong understanding of TCP/IP networking, QoS, routing protocols, and traffic engineering concepts.
Experience working in environments with strict availability and reliability requirements.
Useful additional experience includes:
Network automation (e.g., Python)
Model-driven networking
CI/CD concepts applied to network configuration
Telemetry and streaming-based monitoring approaches
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.
Location: London
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.
The Network Infrastructure team designs, builds, and supports the networking environment that underpins QRT’s global technology platforms. The team ensures secure, scalable, and resilient connectivity across all regions and collaborates closely with Infrastructure, Security, and Engineering groups.
Your Future Role within QRT
You will take ownership of the Network Infrastructure team’s documentation and process library within Confluence. The role combines technical writing, content governance, and process analysis to ensure clarity, consistency, and continuous improvement in how information and workflows are structured.
Review and assess existing Confluence documentation to identify outdated, duplicated, or unclear content
Redesign and maintain a logical structure for the Confluence space
Develop and apply documentation templates, naming conventions, and style standards
Rewrite and consolidate content to ensure technical accuracy and consistency
Define documentation ownership and review cycles
Create supporting visual materials such as diagrams and flowcharts
Work with Engineers and Project Managers to capture and document operational and delivery processes
Identify inefficiencies and improvement opportunities within current workflows
Contribute to the design and rollout of future-state processes
Maintain process documentation to reflect changes in ways of working
Your Present Skillset
Proven experience as a Technical Author, Technical Writer, or in a documentation-focused role
Experience documenting and improving technical or operational delivery processes
Strong proficiency with Confluence, including content governance and structure management
Ability to understand and communicate networking concepts clearly
Experience collaborating with technical stakeholders to capture and translate information accurately
Excellent written communication and attention to detail
Experience leading or coordinating cross-team documentation or process initiatives
Desirable/nice to have:
Familiarity with Lean, Six Sigma, or continuous improvement methods
Working knowledge of networking concepts (BGP, routing, firewalls, site connectivity)
Exposure to workflow automation tools (e.g. Tines, n8n, Zapier)
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.
Location: New York
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.
The global infrastructure team ensures the stability, performance, and optimisation of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms.
Your Future Role within QRT
Administer and support QRT’s instrumentation estate, primarily based on Corvil technology
Analyse network and application latency, supporting troubleshooting efforts across trading platforms
Investigate and resolve performance and platform issues, ensuring systems remain up to date and secure
Contribute to BAU tasks, maintenance activities, and new project delivery
Collaborate with colleagues and stakeholders to enhance processes and improve monitoring and instrumentation
Your Present Skillset
SME level knowledge of Corvil from a user and administrator perspective
CCE / CPME qualification (advantageous)
Automation experience (advantageous)
Multiple years of experience of using and supporting Corvil in the financial space with a broad understanding of electronic trading
Understanding of tap aggregation and time-stamping techniques
Ability to contribute to troubleshooting efforts and latency analysis
Effective collaborator who thrives in a team environment and enjoys knowledge sharing
Strong documentation skills, ensuring systems and processes are clearly recorded and maintained
Comfortable working in a fast-paced environment
Base salary range for this position is $150,000 to $250,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Location: Hong Kong
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.
As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure.
This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling.
What You'll Do
Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure
Develop platform APIs and tooling that improve the productivity of quantitative researchers
Improve the reliability, scalability, and performance of compute-intensive research workflows
Build solutions for scheduling, resource management, observability, and security
Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities
Take ownership of systems end-to-end, from design and implementation through production operation
What We're Looking For
Required
BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience
5+ years of experience building and operating large-scale distributed systems in production
Strong proficiency in C++, Java, Rust, Go, or similar systems languages
Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance
Experience designing services, platforms, or infrastructure used by other engineers
Preferred
Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments
Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow
Experience supporting researchers, data scientists, or other highly technical users
Exposure to quantitative finance or large-scale data-intensive environments
Why Join QRT?
Solve challenging distributed systems and infrastructure problems at scale
Build platforms that directly accelerate research and innovation
Work closely with world-class quantitative researchers and engineers
Take ownership of critical systems in an environment that values technical excellence, autonomy, and impact
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.
Location: Amsterdam
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:
We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.
Network & Protocol Analysis:
Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
Exchange Research & Liaison:
Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
Execution Optimization:
Reverse-engineer trading systems and design and conduct experiments to improve fill rates
Cross-team Communication:
Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
Data Analysis:
Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication
Your present skillset:
Degree in Computer Science, Engineering, or a related field
5+ years of experience in data analysis and/or low-level systems and network engineering
Strong skills in Python and time-series analysis
Understanding of network protocols such as TCP/IP and Ethernet
Familiarity with market microstructure and low-latency trading is a plus
Advanced networking and GNU/Linux knowledge is a plus
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.
Location: Lagos, Nigeria
The Treasury Manager is responsible for managing Renmoney’s liquidity, funding, and treasury risk framework, ensuring adequate liquidity to support loan growth, optimizing funding costs, and maintaining strict compliance with CBN regulations applicable to finance companies and microfinance-regulated entities (where applicable).
The role provides leadership in liquidity forecasting, scenario analysis, stress testing, funding strategy execution, ALCO support, and stakeholder management, while upholding the highest standards of integrity, governance, and regulatory compliance.
Key Responsibilities
1. Liquidity Management & Forecasting
Own and manage Renmoney’s daily, weekly, and medium-term liquidity position
Develop and maintain cash flow forecasts aligned with loan disbursement and repayment cycles
Ensure adequate liquidity buffers in line with internal policy and regulatory expectations
Monitor liquidity ratios, early-warning indicators, and funding gaps
2. Scenario Analysis & Stress Testing
Design, implement, and review liquidity stress tests and scenario analyses (base, adverse, and severe)
Assess the impact of funding withdrawals, market shocks, and portfolio stress
Recommend contingency funding actions and risk mitigation strategies
Present stress-testing outcomes and recommendations to ALCO and Senior Management
3. Funding Strategy, Markets & Execution
Develop and execute funding strategies across bank borrowings, Commercial Paper (CP), REPOs, and alternative funding structures
Demonstrate a strong understanding of money market instruments and derivative products used for funding and risk management
Monitor market conditions, pricing trends, investor appetite, and rollover risks
Optimize cost of funds within approved liquidity and risk limits
4. Commercial Paper (CP) & Capital Markets
Support the structuring, issuance, and management of Commercial Paper programmes
Liaise with issuing houses, trustees, rating agencies, and investors
Monitor CP maturity profiles and refinancing risks
Ensure compliance with regulatory, documentation, and disclosure requirements
5. Banking & Counterparty Relationship Management
Build and maintain strong relationships with deposit money banks, financial institutions, and market counterparties
Negotiate funding lines, pricing, covenants, and terms
Manage counterparty concentration and diversification
Act as Renmoney’s primary treasury interface with banking partners
6. ALCO & Management Reporting
Prepare and present comprehensive ALCO packs, including liquidity dashboards, funding analysis, stress-testing results, and market outlook
Provide clear, actionable recommendations to ALCO
Track and implement ALCO decisions and resolutions
7. Risk Management, Controls & Regulatory Compliance
Ensure full compliance with CBN regulations, including requirements applicable to Microfinance Banks and finance companies (as relevant)
Ensure adherence to internal treasury policies, approval limits, and delegation of authority
Maintain strong treasury controls, segregation of duties, and audit trails
Support internal audit, external audit, and CBN examinations
8. Stakeholder Management (Internal & Regulatory)
Collaborate effectively with Finance, Risk, Compliance, Operations, and Business Teams
Support engagement with regulators and respond to regulatory inquiries
Translate regulatory developments into operational and policy actions
9. People Management, Ethics & Leadership
Lead, mentor, and develop treasury team members
Review and validate treasury analyses and reports
Foster a culture of integrity, accountability, professionalism, and compliance
Requirements
Education
Bachelor’s degree in Finance, Accounting, Economics, or Business Administration
MBA or MSc Finance – added advantage
Professional, Regulatory & Mandatory Certifications
Mandatory / CBN-Recognised
Microfinance Certification Programme (MCP) – mandatory or in progress, in line with CBN requirements for Microfinance Bank and regulated financial institution staff
Professional Certifications (Strongly Preferred)
CIBN (Associate or Full Member)
ACI Dealing Certificate or ACT (AMCT / CTP)
CFA (Level I or II) or FRM – added advantage
Evidence of continuous professional development
Analytical & Technical Skills
Advanced liquidity modelling and forecasting
Strong scenario analysis and stress-testing expertise
Deep understanding of money market instruments, CP market, REPOs, and funding derivatives
Strong quantitative and financial analysis capability
Technical & Computer Skills
Advanced Microsoft Excel (financial models, dashboards, sensitivity analysis)
Strong PowerPoint skills for ALCO and senior management presentations
Experience with treasury management systems and core banking platforms
People Skills & Personal Attributes
High ethical standards and integrity
Strong leadership and mentoring ability
Sound judgment and risk awareness
Ability to work under pressure in dynamic environments
Communication, Presentation & Stakeholder Skills
Strong presentation skills at ALCO and the executive level
Ability to explain complex treasury and market concepts clearly
Strong negotiation and relationship-management capability
7–10 years of experience in Treasury, Financial Markets, or Banking / Non-Bank Financial Institutions
Strong exposure to liquidity management, funding structures, CP issuance, and ALCO processes
Experience in a microfinance or consumer lending environment is an advantage
Key Performance Indicators (KPIs)
Liquidity adequacy and stability
Funding cost optimization
Effectiveness of stress testing and scenario analysis
Compliance with regulatory and treasury limits
Quality of ALCO reporting and stakeholder engagement
Location: Birmingham, Alabama, United States; Independence, Missouri, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is building next generation, high density AI infrastructure, and we are looking for a
Data Center Operations Manager - Critical Infrastructure
to own the performance, reliability, and operational excellence of our data center facilities.
This is a
critical facilities leadership role
, responsible for
power, cooling, and environmental systems
that support GPU driven workloads. You will ensure our sites operate with
maximum uptime, efficiency, and safety
, while also supporting
capacity expansion and infrastructure improvements
as we scale.
Unlike a pure construction role, this position is focused on
steady-state operations, incident management, and long term facility performance
, with involvement in
commissioning and new site readiness
where needed.
Responsibilities:
Critical Facilities Operations
Own day to day operations of
electrical and mechanical systems
including UPS, generators, switchgear, PDUs, chillers, CRAH/CRAC units, and cooling infrastructure
Ensure
high availability and uptime
of all critical systems supporting data center operations
Lead
incident response
for facility related events, including root cause analysis and corrective actions
Monitor system performance via BMS/DCIM and drive improvements in reliability and efficiency
Maintenance & Vendor Management
Oversee
preventive and corrective maintenance programs
for all facility systems
Manage and hold accountable
third party vendors and service providers
Ensure all maintenance activities follow
SOPs, EOPs, and MOPs
Drive standardization and continuous improvement of operational procedures
Capacity, Efficiency & Optimization
Partner with engineering and operations teams on
capacity planning and infrastructure scaling
Monitor and improve
PUE and overall energy efficiency
Identify and implement
reliability and sustainability improvements
across facilities
Support high density environments, including
air and liquid cooling strategies
aligned with modern AI workloads
Compliance, Safety & Risk Management
Ensure compliance with
local regulations, safety standards, and industry best practices
Maintain strong adherence to
HSE (Health, Safety, Environmental)
standards
Lead audits, inspections, and documentation for operational readiness
Act as the primary point of contact for
facility related regulatory interactions
Commissioning & Site Readiness (Light but Important)
Support
commissioning, testing, and handover
of new or expanded infrastructure
Participate in
FAT/SAT and system validation
for critical equipment
Ensure smooth transition from
construction to steady state operations
Validate that systems are operationally ready with proper documentation and procedures
Cross-Functional Collaboration
Partner closely with:
Data Center Operations teams
Infrastructure & deployment engineers
Network and hardware teams
Act as the
bridge between facilities and IT infrastructure
, ensuring both layers operate seamlessly (a key distinction in Nebius environments)
Support broader operational goals around
scalability, reliability, and standardization
Requirements:
7–10+ years of experience in
data center or mission critical facilities operations
Strong hands on knowledge of
critical infrastructure systems
:
Electrical distribution (UPS, generators, switchgear)
Cooling systems (chillers, HVAC, CRAH/CRAC, liquid cooling exposure preferred)
Experience operating in
high availability environments
with strict uptime requirements
Proven experience managing
vendors, maintenance programs, and incident response
Familiarity with
BMS/DCIM systems and operational monitoring
Experience developing and enforcing
SOPs, EOPs, and MOPs
Strong understanding of
safety, compliance, and regulatory requirements
Preferred:
Experience in
hyperscale, colocation, or AI/GPU driven data centers
Exposure to
high-density environments and advanced cooling solutions
Experience supporting
new site builds, commissioning, or expansions
Basic understanding of
IT infrastructure (rack, power distribution, hardware)
to effectively partner with engineering teams
Key employee benefits:
Health insurance:
100% company-paid medical, dental and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave
: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance:
Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $180,000-$230,000 based on your experience
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$190,000
—
$230,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Sydney
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.
The successful candidate will have a Computer Science degree or equivalent and possess in-depth knowledge and experience in developing with C++. A strong background in Linux / C++ low latency optimizations is a must. A background in Linux kernel, FPGA, and network card offloading will also be advantageous.
Your future role within QRT
The successful applicant will be a key member of the Low Latency Development team, building and enhancing trading systems for QRT.
The role will cover design, development, validation, deployment, and production support of QRT's trading system constellation of market data handlers, trading gateways, trading platforms, and other systems surrounding it.
Your present skillset
5+ years of experience in low latency Linux development using C/C++, STL, Boost.
Experience designing and implementing multithreaded and distributed systems.
Experience in a front-office trading desk-aligned role is an advantage.
Good knowledge of distributed network architecture.
Familiar with C++ optimization techniques.
Familiar with the Linux / GCC development toolchain.
Knowledge of market data feed handlers and execution gateways is highly desirable.
Team player.
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 to achieve a healthy work-life balance.
Location: Hong Kong
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.
We are looking for an experienced DevOps Engineer to help design, build and maintain scalable, reliable pipelines and infrastructure supporting our technology, trading platform, and market access teams. You’ll also help set standards and best practices across teams, while building self-serve tooling that improves reliability and developer productivity.
Your future role at QRT
Design and implement development tooling and platform infrastructure to improve reliability and developer productivity
Build, automate and continuously improve CI/CD pipelines and release processes
Manage environment deployments, upgrades and migrations
Partner with software engineers to ensure that development follows established processes and engineering standards and works as intended in production
Build tools and APIs to reduce the occurrence of errors and improve user experience
Develop software to integrate with internal back-end systems and their APIs
Improve observability and operational readiness through improvements to monitoring, alerting and runbooks
Your present skillset
Experience operating infrastructure in hybrid environments (on-prem and AWS)
Experience with Kubernetes (preferably AWS EKS) and AWS infrastructure (EC2, VPC/networking, load balancing)
Good knowledge of Infrastructure as Code (Terraform, OpenTofu)
Good knowledge of Windows & Linux scripting
Good knowledge of Python
Good knowledge of Git
Working knowledge of C/C++, Make, CMake
Experience working within a mature CI/CD highly desirable.
Knowledge of monitoring tools like Prometheus, Grafana; Elasticsearch, Splunk, Coralogix
Problem solving attitude with a focus on automation
Strong team player with great communication skills
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 to achieve a healthy work-life balance.
Location: Amsterdam
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.
QRT's High-Frequency Trading team designs and operates ultra-low-latency systems that run at global scale. We’re looking for experienced C++ engineers who care deeply about performance, efficiency, and the elegance of ultra-optimized systems.
Your future role at QRT:
You’ll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts.
Design and optimize C++ systems for trading, market data, and infrastructure
Profile and fine-tune performance across CPU, cache, and memory layers
Collaborate with FPGA engineers to integrate hardware and software pathways
Your present skillset:
3+ years of experience in performance-critical C++ (C++17 or newer)
Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures
Deep familiarity with Linux internals, kernel parameters, and low-level profiling
Curiosity about hardware, networking, and how systems behave under real load
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 to achieve a healthy work-life balance.
Location: Singapore, Singapore
Workplace: Hybrid
ABOUT PAVE BANK
Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide.
With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities.
Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance.
ABOUT THE ROLE
The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales.
KEY RESPONSIBILITIES
- Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities.
- Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs.
- Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows.
- Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy.
- Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams.
- Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals.
- Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows.
- Support development of junior talent and future team scale as the organisation expands.
EXPERIENCE
- 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets.
- Proven ability to originate and close complex, high-value institutional accounts.
- Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations.
- Strong financial, commercial, and pricing skills.
- Comfortable operating in a fast-moving, scaling banking environment.
Location: Hong Kong, Singapore
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.
We are looking for a developer with 3-12 years of experience in a quant trading environment to work directly with traders and quant researchers.
Your future role within QRT
Key member to the success of high-frequency and low latency algo trading on APAC markets for Cash Equities and Futures markets
Enrich and implement alpha and trading algorithms
Implement specific market rules for the main Asian markets
Collaborate with the traders and quant researchers on providing efficient research platform and tools
Your present skillset
Computer Science degree or equivalent
Strong C++ 20/23 development experience on a Linux environment
Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions
Familiar with HPC in Cloud environment, good level of Python
Good communication skills in a dynamic and international environment
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.
Location: Hong Kong
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.
We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions
Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
Managing the end-to-end process of onboarding new datasets
Proactively solving data related problems to minimise time to production
Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit
Your present skillset
3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Demonstratable interest in financial markets and the application of data in its analysis and understanding
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
Ability to work in a high-performance, high-velocity environment
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.
Location: Hong Kong
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
We are seeking a motivated and versatile Production Support Engineer to join the HK office. This permanent role is ideal for candidates who thrive in dynamic environments, are eager to support multiple technology areas (Trading tools or Market Access), and possess a strong drive for both operational excellence and development innovation.
Key Responsibilities
Production Support (50%)
Provide comprehensive user and system support across all technology streams.
Monitor, maintain, and troubleshoot production systems to ensure stability and reliability, with a particular emphasis on data platforms and processes.
Respond promptly to incidents and service requests, diagnosing and resolving issues affecting data flows, trading applications, and related infrastructure.
Perform daily health checks and validation of trading and data systems before market open, ensuring all components are operational.
Manage and support static and dynamic databases, including troubleshooting data integrity issues and performing routine maintenance.
Coordinate with development and business teams to resolve “pretrade” related issues and implement fixes or enhancements.
Support release management activities, including deployment, verification, and rollback procedures for data and trading applications.
Maintain and update documentation for operational procedures, incident response, and data workflows.
Ensure compliance with internal controls, regulatory requirements, and best practices for data management and system support.
Participate in root cause analysis and post-incident reviews, focusing on continuous improvement of data stream reliability and performance.
Collaborate with global support teams to share knowledge, escalate issues, and drive resolution of complex data stream problems.
Support evening and weekend operations as required, ensuring critical data and trading systems remain available and performant.
Development & Automation (50%)
Design and implement automation tools to streamline operational workflows.
Develop scripts and applications for data quality checks, monitoring, alerting, and recovery processes.
Work on projects involving cloud technologies, CI/CD pipelines, and performance optimization.
Required Skills & Experience
3+ years in a technical support role, ideally within trading/market access
Experience with Python, Bash and PowerShell scripting (with or without Copilot).
Experience with Windows desktop/server and Linux OS administration.
Strong relational database skills (SQL Server, Postgres).
Experience supporting trading platforms and infrastructure.
Strong problem-solving and business analytics capabilities.
Ownership mindset with a commitment to issue resolution.
Excellent written and oral communication skills.
Preferred Attributes
Motivated to support diverse technology streams and learn new domains.
Ability to work independently and as part of a global team.
Proactive in identifying opportunities for automation and process improvement.
Comfortable with fast-paced, high-pressure environments.
Experience with AWS/cloud platforms, cloud monitoring and automation
Experience with Crypto asset, Crypto market
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.
Location: Khafji, Saudi Arabia; Bengaluru, India
We are seeking an experienced SAP S/4HANA FICO Consultant with strong functional expertise across SAP Finance and Controlling. The ideal candidate must have a minimum of 3 full-cycle SAP implementation projects and at least Two SAP S/4HANA Conversion (System Conversion) / implementation project. The consultant will play a key role in driving the design, configuration, deployment & support of end-to-end finance processes, ensuring seamless integration across business functions.
Responsibilities
1. Solution Design & Implementation
Lead requirement gathering, fit-gap analysis, and solution design workshops for SAP S/4HANA Finance.
Configure and implement:
General Ledger Accounting (New GL) including document splitting, parallel ledgers, centralized postings, and financial reporting.
Accounts Payable (AP) including vendor invoicing, payment programs, ageing reports, and integration with procurement.
Accounts Receivable (AR) including customer invoicing, dunning, credit management, and integration with sales/contract modules.
Fixed Assets Accounting covering asset acquisition, capitalization, depreciation, retirement, and year-end asset closing.
Bank Accounting including house banks, automated bank statement processing, EBS, and integration with online banking (host-to-host or SFTP) for automated reconciliation and payments.
Treasury & Risk Management (TRM) including money market transactions, fixed deposits, interest calculations, maturities, and liquidity planning.
Flexible Real Estate Management (REFX) including lease-in/lease-out, real estate contracts, valuation, and IFRS-16 compliance.
Controlling (CO) including cost elements, cost centers, internal orders, budgeting, allocations, and reporting
2. Business Process Integration
Collaborate with cross-functional teams (MM, PM, PS, HR, Procurement – ARIBA & SRM).
Ensure end-to-end process connectivity across procure-to-pay, order-to-cash, asset lifecycle, and budget control processes.
Support integration with online banking systems, and third-party systems if applicable.
Understanding of IDocs, BAPIs, interfaces, Fiori apps, and workflows.
Experience with SAP Fiori for Finance.
3. Testing, Training & Support
Prepare detailed configuration documents, functional specifications, and test scripts.
Conduct unit testing, SIT, UAT, and cutover activities.
Deliver user training and prepare training materials.
Provide post-go-live support and continuous process improvements.
Requirements
Bachelor's degree in Finance, Accounting, Information Technology, or related field.
SAP FI or CO certification.
Minimum 10+ years of SAP Finance/Controlling experience.
Minimum 3 full project lifecycles in SAP ECC or S/4.
Minimum 2 SAP S/4HANA conversion / implementation project experience.
Strong expertise in:
o FI: GL/AP/AR/AA/Bank Accounting
o CO: Cost Center, Cost Element, Internal Orders
o TRM – Money Market / Fixed Deposits
o REFX – Lease and Real Estate Contract Management
Deep understanding of Universal Journal, New Asset Accounting, Bank Communication Management, Automatic Payments (F110).
Experience with Financial Closing, Year-end Activities, and IFRS/GAAP compliance.
Experience in the Oil & Gas or large industrial sectors would be an advantage.
Location: London
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 at QRT:
We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.
This position has a specialized focus as an
SME for Derivatives - Reference Data and Lifecycle
. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.
Your responsibilities will include:
Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency.
Ensure the availability and quality of reference data for different types of derivatives traded by QRT.
Partner closely with a variety of stakeholders and maintain alignment with business needs.
Your present skillset:
4+ years of work experience in a quantitative trading environment
Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events
In depth knowledge of how derivatives are treated in different markets / exchanges.
Advanced programming skills, with a drive for delivering strategic solutions.
Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up.
Familiarity with SQL and relational databases.
Knowledge of testing as part of continuous delivery and integration pipelines.
Excellent communication skills, and ability to collaborate effectively in a small, close-knit team.
Fluency in English, both written and verbal communication skills
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.
seniorParis, Zurich
London
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