Careers at Quberesearchandtechnologies

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 work alongside quantitative researchers and portfolio managers to develop the technology that underpins systematic trading strategies. This role is embedded within the research environment, where engineering and quantitative research are closely integrated. You will help develop research frameworks, productionise trading strategies, and improve the engineering standards that support systematic investment research. Your future role within QRT Build, maintain and enhance the quantitative trading framework used for research and production Productionise quantitative trading strategies developed by researchers Collaborate with quantitative researchers and portfolio managers to improve research workflows, development practices and engineering standards Develop tooling and infrastructure that supports the full lifecycle of systematic trading strategies Contribute to machine learning and data driven research initiatives through software engineering and platform development Evolve the software platform to meet changing research and business requirements Support technically complex research projects and deliver robust production solutions Your present skillset 5 or more years of professional experience as a Quantitative Developer or Quantitative Technologist working directly with quantitative research teams within a systematic investment environment Strong Python development skills Experience building software for quantitative research and systematic trading workflows Strong understanding of quantitative trading strategies, with the ability to review and improve research code while understanding the underlying investment logic Experience developing machine learning pipelines and supporting production deployment Experience applying AI tools or developing AI enabled solutions High standards for code quality, testing and software engineering best practices Ability to manage multiple priorities and work effectively in a collaborative environment Strong communication skills and the ability to work closely with quantitative researchers, portfolio managers and engineering teams 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.

Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong, Singapore Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. 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.

2027 Internship – Security Engineer Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris, New York Programme duration: 6-month internship or 12-month industrial placement, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject, on track for a 2:1 or above. Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong Programme duration: 3–6-month internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong, Singapore Programme duration: 3–6 months, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (Hong Kong, Singapore) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, data, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on defined technical problems. You’ll be expected to understand the problem properly, explore different approaches and make sensible engineering choices. Examples of the projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Data Engineering – Design and build data solutions behind our strategies, working with traders, researchers and engineers to develop robust, scalable infrastructure for quantitative research. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (Hong Kong, Singapore) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. The work is collaborative and gives you direct exposure to quantitative research, financial markets and production trading systems. Examples of the projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your present skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject from a leading institution. Interest in technology: You enjoy solving technical problems and understanding how systems work. We’re interested in what you’ve explored and built, whether through personal projects, open-source contributions, hobbies or academic work. Software engineering experience: Hands-on experience writing and working with software, gained through academic or independent projects. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

2027 – Internship or Graduate, FPGA Engineering Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: London Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. 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.

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 seeking a Security Engineer to help shape and deliver QRT's Identity Governance (IGA), Privileged Access Management (PAM), and Secrets Management capabilities. This is a hands-on engineering role requiring strong technical depth, stakeholder management, and the ability to influence change across the organisation. You will work with both technical and non-technical stakeholders to develop scalable identity and access management solutions, drive adoption of security best practices, and improve the maturity of IAM as a security discipline across QRT. Responsibilities Own and continuously improve QRT's IGA, PAM, and Secrets Management capabilities. Build strong relationships with Infrastructure, Engineering, HR, and business stakeholders to understand requirements and drive outcomes. Lead identity and access initiatives from conception through to delivery, influencing stakeholders and driving adoption. Design and implement solutions for identity lifecycle management, privileged access, authentication, and secrets management across on-premises and cloud environments. Design and implement role-based access control (RBAC) models and policies within the IGA Tool. Support uplift and maintenance of Active Directory (AD) groups to align with governance policies. Integrate secrets management platforms with CI/CD pipelines, cloud services, and enterprise applications. Develop automation and Infrastructure-as-Code / Identity-as-Code solutions to improve security, governance, and operational efficiency. Develop automation and integrations to improve security, governance, and operational efficiency. Provide guidance on IAM principles, governance models, standards, and best practices. Support access reviews, audits, investigations, and risk management activities. Act as a subject matter expert for identity-related technologies, processes, and controls. Skills & Experience 5-10 years' experience in Identity & Access Management, Security Engineering, or a related discipline. Strong understanding of Identity and Access Management principles, methodologies, governance, and operating models. Experience delivering IGA, PAM, and Secrets Management capabilities in complex enterprise environments. Experience working across both on-premises and cloud environments, integrating identities, applications, and access controls across hybrid platforms. Hands-on engineering experience implementing, integrating, and automating security technologies. Ability to engage effectively with both technical and non-technical stakeholders and influence decision-making at all levels. Proven ability to take ownership, drive initiatives, and deliver outcomes with minimal supervision. Strong understanding of identity lifecycle management, least privilege, RBAC, access governance, authentication, and privileged access management. Strong hands-on experience with platforms such as SailPoint (ISC), Delinea, CyberArk, HashiCorp Vault, or similar technologies. Strong automation-first mindset and experience applying Infrastructure-as-Code and Identity-as-Code practices Excellent communication, stakeholder management, and problem-solving 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.