quantitative software engineer

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 110123</div></div></div></div><div></div><div><ul><div>
Amsterdam</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
You will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions.</p><p></p><p>
You&rsquo;ll develop cutting-edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies.</p><p></p><p>
You will work hands-on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user-centric design, and Agile values. By co-creating with clients and their leadership, you&rsquo;ll help build not only cutting-edge products but also the technical capabilities and cultures needed to sustain them.</p><p></p><p>
Your work will drive meaningful change for clients and their industries. You will participate in cross-functional problem-solving sessions with client leaders, shaping their digital strategies and delivering solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long-term success.</p><p></p><p>
You will collaborate with clients across industries to turn their digital ambitions into reality through hands-on technical expertise. Based in one of our global locations, you will be part of QuantumBlack, AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry-shaping products and tools.</p><p></p><p>
You&rsquo;ll grow as a technologist and leader. You&rsquo;ll work across diverse industries and technologies, learning something new with every project. With opportunities to contribute to digital strategies, build impactful products, and mentor others, you&rsquo;ll have the freedom to chart your own path and grow in the areas that excite you most.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Undergraduate or master&rsquo;s degree; or equivalent experience</p><p>
2+ years of experience developing full-stack applications by writing code that is readable, testable, maintainable, and scalable</p><p>
Demonstrated experience working collaboratively with other developers, as well as technical and non-technical people within software teams</p><p>
Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)</p><p>
Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD</p><p>
Strong focus on automated testing, logging, monitoring, and overall system reliability</p><p>
Experience working in Agile teams, including active participation in sprint ceremonies</p><p>
Experience pair programming collaboratively with other developers</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local language, with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Software Engineer - QuantumBlack, AI by McKinsey

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
The Risk Manager will lead programme-wide risk management activities, supporting proactive identification, mitigation, reporting, and governance of strategic, technical, commercial, and operational risks.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Develop and implement programme risk management frameworks and procedures.</li><li>
Facilitate risk identification workshops and maintain programme risk registers.</li><li>
Monitor strategic, technical, schedule, commercial, and operational risks.</li><li>
Coordinate quantitative and qualitative risk assessments.</li><li>
Support schedule risk analysis and contingency planning activities.</li><li>
Track mitigation actions and provide risk reporting to programme leadership.</li><li>
Coordinate risk interface management across contractors, consultants, and stakeholders.</li><li>
Support governance reviews, change control, and lessons learned initiatives.</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Degree in Engineering, Construction Management, or related discipline.</li><li>
Minimum 15 years' experience in project or programme risk management.</li><li>
Experience on major infrastructure, rail, or transportation programmes.</li><li>
Strong understanding of quantitative risk assessment methodologies.</li><li>
Familiarity with Primavera Risk Analysis or equivalent software preferred.</li><li>
Strong analytical, reporting, and facilitation capability.</li><li>
Knowledge of commercial and contractual risk management.</li><li>
Professional certification preferred (PMI-RMP, APM, or equivalent).</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p><p></p><p><b><br>
#RailME</b></p></div>

Risk Manager

<div>
 <p>
  Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
  <br/>
  <br/>
 </p>
 <p>
  As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code
  </li>
  <li>
   Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads
  </li>
  <li>
   Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)
  </li>
  <li>
   CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites
  </li>
  <li>
   Data pipelines: development of ETL scripts in Big Data environments
  </li>
  <li>
   Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)
  </li>
  <li>
   You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
  </li>
  <li>
   You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).
  </li>
  <li>
   Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.
  </li>
  <li>
   You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.
  </li>
  <li>
   You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).
  </li>
  <li>
   You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)
  </li>
  <li>
   You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.
  </li>
  <li>
   You have excellent interpersonal and team working skills
  </li>
  <li>
   Excellent English and Dutch verbal and written skills are required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  We are unable to provide a work permit for this position
  <br/>
  <br/>
 </p>
 <p>
  <br/>
  <br/>
 </p>
 <p>
  Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
 </p>
</div>


Consultant Data Engineer

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier.</p><b><br>
Job Description</b><p><br>
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.</p><p>
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:</p><ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p></p><p><br>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><br>
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.</p><p>
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:</p><ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p></p><p><br>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

MIRA Construction

<div><p>We are hunting for a talented <b>C/C++ Software Engineer</b> who genuinely loves <b>working with complex data </b>feeds and isn't intimidated by high-stakes technical hurdles. In the world of quantitative trading, data is our lifeblood&mdash;meaning our quality standards are incredibly high and the volume of incoming data is massive.</p><p>
This role isn't just about writing code; it's about navigating intricate edge cases and mastering one of the most demanding layers of our engineering infrastructure. If you are someone who enjoys diving deep into technical documentation, obsesses over the details, and takes immense pride in robust engineering, you will thrive here.</p><p><b>
What will you do:</b></p><ul><li><b>
Expand Exchange Connectivity:</b> Build and integrate robust gateways to connect with new financial exchanges globally.</li></ul><ul><li><b>
Optimize Performance:</b> Fine-tune existing data connectors to minimize ingestion latency and maximize data throughput.</li><li><b>
Evolve Data Models:</b> Implement support for new and emerging data structures and asset types within our data pipeline.</li><li><b>
Refactor for Scale:</b> Modernize and re-architect existing solutions to ensure our infrastructure effortlessly scales alongside growing market volumes.</li></ul><br>
<b>
Requirements</b><br>
<ul><li><b>
Modern C++ Expertise:</b> Strong hands-on experience writing clean, efficient code using modern standards (<b>C++17/20</b>).</li><li><b>
High-Throughput Architecture:</b> A proven track record of managing, parsing, and processing massive streams of incoming real-time data.</li><li><b>
Concurrency &amp; Hardware Savvy:</b> A deep understanding of multithreaded programming, concurrent systems, and CPU memory models.</li><li><b>
Networking &amp; Systems Mastery:</b> A solid grasp of network protocols, communication layers, and Linux system internals.</li><li><b>
CS Fundamentals:</b> Strong foundational knowledge of core algorithms and data structures.</li><li><b>
Global Collaboration:</b> A professional level of written and spoken English to seamlessly partner with our international team.</li><li>
Deep expertise in ultra-low latency, sub-microsecond real-time development.</li><li>
Prior engineering experience in High-Frequency Trading (HFT), telecom routing, or high-performance game engines.</li></ul><br>
<b>
Benefits</b><br>
<ul><li><b>
Immediate Impact:</b> Dive into fascinating technical problems featuring ultra-fast feedback loops.</li></ul><ul><li><b>
Elite Global Network:</b> Collaborate with a welcoming, exceptionally brilliant team of international professionals.</li><li><b>
Top-Tier Infrastructure:</b> Gain access to state-of-the-art hardware and cutting-edge technological innovations.</li><li><b>
Ultimate Work Freedom:</b> Work 100% remotely from anywhere on Earth, with full open-door access to any of our physical global offices whenever you like.</li><li><b>
Premium Perks:</b> Enjoy a flexible schedule, an industry-leading <b>40 paid days off</b>, and a highly competitive compensation package.</li></ul></div>

C++ Software Engineer (Market Data Systems)

Apple

<p>Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a engineer to support customer analytics with advanced, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science.<br>
<br>
<b>Description</b><br>
<br>
Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics<br>
<br>
Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability<br>
<br>
Experience in building and maintaining custom frameworks to support engineering/analytics needs<br>
<br>
Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.<br>
<br>
Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale.<br>
<br>
Experience in building data pipelines in Spark, Trino, lakehouse or similar distributed platforms &amp; Snowflake.<br>
<br>
Deploy inclusive data quality checks to ensure high quality of data.<br>
<br>
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.<br>
<br>
Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.<br>
<br>
Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities<br>
<br>
Communication Strong documentation and technical writing skills.<br>
<br>
Attention to detail and effective verbal/written communication skills.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
3+ years of experience in data engineering and ETL pipeline development<br>
<br>
2+ years of experience in Big Data Technologies (Spark,Lakehouse,Trino)<br>
<br>
Experience on Kubernetes, Docker preferred.<br>
<br>
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs<br>
<br>
Experience with creating and consuming Model Context Protocol (MCP) services<br>
<br>
Snowflake knowledge<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
3+ years of relevant Engineering experience<br>
<br>
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required.<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Product Marketing Customer Analytics Engineer

Search 3074+ Quantitative software engineer jobs near you this July. New roles added regularly across leading industries. Apply today.

3074 quantitative software engineer jobs Near Me

Software Engineer - QuantumBlack, AI by McKinsey

Risk Manager

Consultant Data Engineer

Consultant Data Engineer

Consultant Data Engineer

C++ Software Engineer (Market Data Systems)

Product Marketing Customer Analytics Engineer