quantitative software engineer

iHorizons

<div><b><i>This is a temporary position.</i></b><br>
<br>
<b>Job Summary</b><br>
You will be responsible for the software testing lifecycle; designing and implementing test plans to ensure the quality of the software programs and to improve the usability. Prepare test scenarios, and cases, correct errors and troubleshoot issues with software code.<h1 class="jobSectionHeader"><b>
Job Objectives</b></h1>
Assess software quality through manual testing, design test scenarios, develop test plans to test new and existing software and debug code.<h1 class="jobSectionHeader"><b>
Job Responsibilities</b></h1><ul><li>
Work with business analysts to gather business and functional requirements, and transfer the business and functional requirements into scalable, robust, and reusable test plans</li><li>
Develop testing programs for database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability</li><li>
Identify test requirements from specifications, map test case requirements and design test coverage plan</li><li>
Review functional and design specifications to ensure full understanding of individual deliverables</li><li>
Analyze, design &amp; develop test cases for each level in Software Testing like Unit Testing, Integration Testing, System Testing and User Acceptance Testing and for each Module</li><li>
Report bugs and errors to development teams</li><li>
Track defects and troubleshoot issues</li><li>
Perform nonfunctional tests &ldquo;Performance, security, usability, stress&rdquo; and analyze the results to report the issues in each area</li><li>
Conduct post-release/ post-implementation testing</li><li>
Work with cross-functional teams to ensure quality throughout the software development lifecycle</li><li>
Assist team members in performing work/testing activities and guide them in enhancing technical knowledge</li></ul><h1 class="jobSectionHeader"><b>
Job Requirements</b></h1><h2 class="jobSectionHeader"><b>
Educational Qualification</b></h2><ul><li>
Bachelor&rsquo;s degree in computer science or related field</li></ul><h2 class="jobSectionHeader"><b>
Licenses &amp; Certifications</b></h2><ul><li>
The below certifications/licenses are desirable:</li><li>
Certified Tester Foundation Level (CTFL)</li><li>
Certification in ISTQB CTFL Agile Testing</li><li>
Certified Associate in Software Quality (CASQ)</li><li>
Certified Associate in Software Testing (CAST)</li><li>
Certified Software Process Engineer (CSPE)</li><li>
Certified Quantitative Software Process Engineer (CQSPE)</li></ul><h2 class="jobSectionHeader"><b>
Previous Work Experience</b></h2><ul><li>
Overall, 5 plus years of experience in software or IT</li><li>
Experience in Manual Test Scripting, Test Data Management, Manual Test Execution, Reissue Process, Requirements/Use Case Mapping</li><li>
Experience as a QC tester while in testing within an agile development environment</li><li>
Experience in software testing methodologies and the testing life cycle</li><li>
Experience in Mobile testing with different OS and WEB testing with different browsers</li><li>
Experience of using Proxy tools Charles and Fiddler</li><li>
Exposure of Appium tool, load test &amp; API test is an added advantage</li></ul><h2 class="jobSectionHeader"><b>
Skills and Abilities</b></h2><ul><li>
Ability to Identify, record, and document thoroughly, and track bugs</li><li>
Ability to multi-task, prioritize tasks and quickly adjust in a rapidly changing environment</li><li>
Extensive knowledge of designing test scenarios, test plan documents, traceability matrix, test summary documents</li><li>
Proficient in writing test case reviews and generate review report</li><li>
Capable of doing functional and regression testing</li><li>
Working knowledge of test management software and bug tracking tools (e.g., Jira, TFS, Dev Ops)</li><li>
Analytical mind and problem-solving aptitude</li><li>
Excellent communication skills</li><li>
Good organizational skills</li><li>
Native Arabic speaker</li></ul><b>
About iHorizons</b><br>
iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies.<br>
We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.<br>
<p>
</p><p>bFQv3qhFHb</p></div>

Senior Software Quality Engineer

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SAFETY</p>
<p>5274</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p><i>
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo&rsquo;s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.</i></p>
<p><i>
In this hybrid role, you will report to Risk Management, Safety Engineer</i></p>
<p><b>
You will:</b></p>
<ul>
<li>You will architect best practices for risk assessment methodologies, including publishing internal guidance on risk models, data sources and computation methods.</li>
<li>You will collaborate with domain experts to build robust risk assessments with sustainable overhead for execution and flexibility in the face of an expanding product scope.</li>
<li>You will work with domain experts to define what test coverage is needed to support ongoing risk assessments with regression protection and field monitoring.</li>
<li>You will connect with stakeholders, learn their pain points, and work to unblock barriers to scale. You will streamline rate limiting processes, automate repetitive tasks, and develop tools to enable future projects.</li>
<li>You will familiarize yourself with tools available inside and outside the team/company/industry to unlock increased scale without compromising on rigor.</li>
<li>You will champion and promote a robust safety culture and the continuous improvement of the Waymo safety program across the engineering and operations organizations.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.</li>
<li>Experience in software engineering for simulation and data evaluation, using Python or other high level language (e.g. SQL, R, C++)</li>
<li>Direct experience developing risk models, sourcing and validating data, and using findings to make decisions/recommendations.</li>
<li>Strong foundation in the process of risk management, including the end-to-end lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000 or equivalent standards).</li>
<li>Comprehensive understanding of safety critical system design and the systems engineering &ldquo;Verification and Validation&rdquo; process.</li>
<li>Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams. Ability to thrive in ambiguity.</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Advanced skills in data science and statistics with a focus on analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.</li>
<li>Experience building automated, scalable data pipelines and working in production software environments.</li>
<li>Experience in the role of &ldquo;Trainer&rdquo; of quantitative risk assessment methods for a variety of engineering backgrounds.</li>
<li>Experience with C++ and Python.</li>
<li>Success as a safety culture champion, influencing engineering culture, ensuring safety is a first-class citizen in every design discussion.</li>
<li>Proven leadership experience in working with external partners, contractors, suppliers, and regulatory bodies/auditors.</li></ul><p></p><div><div><br>
<div>
<p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$252,000 USD</div></div></div></div></div></div></div>

Systems Safety Risk Management

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time. If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<ul><li>Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.</li>
<li>Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.</li>
<li>Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.</li>
<li>Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.</li>
<li>Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.</li>
<li>Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.</li>
<li>Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications &amp; Skills</b></h2>
<ul><li>Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.</li>
<li>Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.</li>
<li>Programming skills in C++, applied to performance-sensitive quantitative work.</li>
<li>Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.</li>
<li>Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.</li>
<li>Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.</li>
<li>Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.</li>
<li>Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Beneficial Skills &amp; Qualifications</b></h2>
<ul><li>A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.</li>
<li>Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.</li>
<li>Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p></p><p>Joining Citi's Markets Quantitative Analytics team means working on problems that matter, alongside experienced practitioners on one of the most active equity derivatives businesses in North America. From day one, you will have genuine exposure to live trading activity and the opportunity to contribute to a collaborative, performance-driven environment focused on technical excellence and continuous development.</p>
<ul><li>Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.</li>
<li>Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.</li>
<li>Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.</li>
<li>Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.</li>
<li>A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.</li>
<li>A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.</li>
</ul><p></p><p>Apply now to bring your quantitative expertise to one of the most technically ambitious flow equity derivatives teams in the market and see your models deployed in a live trading environment from day one.</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Risk Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Model Development and Analytics
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$109 120,00 - $163 680,00<br>
<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
</p><p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
ago 21, 2026
<p>-</p>
<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
<br>
<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

AVP Quantitative Analyst – Flow Equity Derivatives

Rivian

<div><div><div>Failsafe is a foundational pillar of the Autonomy safety architecture. In this Staff ML Software Engineer role, you will play a key part in driving and delivering high-quality, real-time onboard models and algorithms to evaluate sensor reliability, scene hazards, and perception capabilities. You will design, train, and ship production-grade solutions that enable our vehicles to understand environmental limitations, sensor degradations, and safety boundaries in 3D.</div><div>
</div></div><div><div>
As an experienced technical expert, you will own the end-to-end lifecycle of the failsafe system: defining safety metrics, engineering diagnostic algorithms, benchmarking on-vehicle performance, and establishing tight feedback loops. A key focus of this role is dedicated to multi-modal scene understanding, ensuring the vehicle can gracefully handle degraded states (such as lens blockage, adverse weather, or road surface hazards) to trigger automated sensor recoverability routines or minimum risk maneuvers.</div></div><br>
<ul><li>
Lead the design, delivery and deployment of production-grade, highly reliable failsafe algorithms for L3 and L4 platforms, focusing on real-time sensor blockage, degradation, and occlusion detection.</li><li>
Develop multi-modal (camera and/or LiDAR) models to analyze real-time road conditions, including surface wetness, friction/mu-estimation, and physical drivability hazards.</li><li>
Design intelligent algorithms to trigger automated sensor-cleaning hardware and recovery strategies, directly maximizing ADAS uptime in challenging environments</li><li>
Architect systems to evaluate and report real-time 3D perception uncertainty and capability limits, interfacing directly with downstream planning and central safety fallback managers.</li><li>
Partner closely with cross-functional teams to define strict safety boundaries, establish rigorous testing benchmarks, and guide system-level architecture trade-offs.</li></ul><div><br>
<ul><li>
BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a highly related quantitative field.</li><li>
7+ years of professional experience scaling production-grade MLsoftware for autonomy or robotics.</li><li>
Proven track record of hands-on experience building algorithms for autonomous vehicle perception or environmental scene understanding.</li><li>
Solid understanding of modern perception pipelines and data representation across multiple modalities (cameras, LiDAR, and Radar).</li><li>
Strong proficiency in C++ and Python alongside experience with real-time software performance optimization and latency profiling.</li><li>
Demonstrated ability to drive complex technical roadmaps and deliver components in a fast-paced environment.</li></ul><div><b>
Preferred Quali</b><b>fi</b><b>cations</b></div><br>
<div></div><ul><li>
Experience designing failsafe, fail-operable, or degraded-state software architectures for safety-critical systems.</li><li>
Hands-on experience with sensor degradation modeling (such as camera soil, lens glare, rain, or LiDAR spray) and system-level ODD degradation modeling.</li><li>
Deep understanding of onboard edge deployment and managing cloud telemetry loops to monitor model performance in the field.</li><li>
Experience collaborating directly with systems safety teams to translate hazard analysis and risk assessments into robust software implementations.</li></ul></div></div>

Staff ML Engineer, Perception Scene Understanding

SAIC

<div><p>Job ID: 2615108</p><p><b>
Location: </b>Middletown, RI, US</p><p><b>
Date Posted: </b>2026-07-30</p><p><b>
Category: </b>Engineering and Sciences</p><p><b>
Subcategory: </b>Sys Safety Engr</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>None</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Secret</p><p><b>
Potential for Remote Work: </b>ORA_ON_SITE</p><p><b><br>
Description</b>
</p><p><b>SAIC</b> is seeking a<b> Systems Safety Engineer </b>at our office in<b> Middletown, RI</b>.</p>
<p>
A successful candidate will work as part of a team analyzing a system to identify hazards, categorize risk, and recommend mitigations to reduce the risk of mishap occurrence. Candidates will collaborate with internal team, government personnel, and subcontractors.</p>
<p><b>
Job Duties:</b></p>
<ul>
<li>Utilizing quantitative and qualitative risk assessment techniques to perform safety analysis in accordance with MIL-STD-882E and other guidance.</li>
<li>Analysis of hardware, software, firmware, and system interfaces to identify hazards to personnel, equipment, and the environment, to include supplemental analysis techniques such as fault tree analyses, failure modes and hazardous effects analyses, and sneak circuit analyses.</li>
<li>Review System Requirements documentation to identify potential hazardous conditions and make recommendations to system design in collaboration with program staff.</li>
<li>Performing operational analyses and studies to identify potential deficiencies in operating procedures, handling procedures, stowage or other logistics phases.</li>
<li>Reviewing and analyzing system safety management and program plans, safety analyses, accident and incident data, mishap investigation reports, safety test plans and results, and other ESOH related data.</li>
<li>Preparing or updating risk assessment reports, safety assessment reports, and presentation materials for formal submission.</li>
<li>Conducting or reviewing safety assessment of new, updated, and/or modified hardware and software, waivers, and exemption requests.</li>
</ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Qualifications:</b></p><ul><li>
Bachelor of Science (or higher) degree in engineering or a technical-related field and two (2) or more years experience.</li><li>
Candidate must be a US Citizen and have the ability to obtain SECRET level clearance. SAIC will sponsor qualified candidates for a security clearance.</li><li>
Familiarity in the use and application of technical standards and system safety principles, theories, concepts and techniques.</li><li>
Familiarity conducting and/or reviewing safety assessment of hardware, software, waivers, and exception requests.</li><li>
Familiarity reviewing System Requirements documentation to identify potential hazardous conditions to make recommendations as needed.</li></ul><p><b>
Preferred Experience:</b></p><ul><li>
Basic understanding of Model Based Systems Engineering (MBSE), particularly using Cameo Systems Modeler, or a willingness to learn; formal training and mentorship will be provided for the right candidate.</li><li>
Basic understanding of or exposure to Systems Engineering principles and practices, or a demonstrated willingness to develop that knowledge in a hands-on professional environment.</li><li>
Basic familiarity with MIL-STD-882E and the Joint Software System Safety Engineering Handbook (JSSSEH), or an eagerness to learn and apply these standards under the guidance of experienced safety professionals.</li><li>
Experience supporting Navy, Army, or Air Force acquisition programs.</li><li>
Prior internship, co-op, or research experience in a systems engineering or safety-related discipline is a plus.</li></ul></div><p></p>

Systems Safety Engineer

Capital One

<div>Sr. Business Analyst - People Strategy &amp; Analytics<p></p><p>
People Strategy &amp; Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, project managers, and Industrial Organizational Psychologists.</p><p></p><p>
As a<b> </b><b>Senior Business Analyst,</b> you will apply your strategic and analytical skills to solve open-ended, complex questions about how we should attract, develop, and retain top talent. You will team up with world-class professionals and senior leadership and work on impactful projects. Your day-to-day might involve:</p><ul><li><p>
Using data &amp; analysis to help executives conduct workforce planning or set organizational strategy effectively</p></li><li><p>
Designing new frameworks for evaluating the success of workforce programs</p></li><li><p>
Developing analyses and tools to help Capital One retain and develop the best talent</p></li></ul><p></p><p>
&hellip;and you will do it all in a collaborative environment that promotes continuous learning, rewards innovation, and prioritizes your development.</p><p></p><p><b>
Specific responsibilities include, but are not limited to:</b></p><ul><li><p>
Strategic problem solving: Identify high impact opportunities to transform the associate experience, conduct analysis, and improve HR tools and processes</p></li><li><p>
Design: Drive and build key programs, including automated insights, HR and labor market monitoring, and internal and external thought leadership</p></li><li><p>
Rapid prototyping: Partner with clients to design innovative, AI-first data solutions and tools for workforce priorities</p></li><li><p>
Insights &amp; analysis: Analyze internal and external workforce data and extract insights to help our clients make data-driven, informed decisions</p></li></ul><p></p><p><b>
Successful Team Members Demonstrate Competencies In These Areas:</b></p><ul><li><p><b>
Purpose:</b><b> </b>You feel a deep personal connection to improving the associate experience and are motivated by applying advanced analytics in a mission-driven way</p></li><li><p><b>
Analytical thinking:</b> A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation. Identify opportunities for improvement and use data to make strategic and tactical recommendations</p></li><li><p><b>
Execution: </b><b>Develop and test hypotheses, design solutions, assess operational feasibility, support implementation efforts, and develop plans and tools for monitoring outcomes</b></p></li><li><p><b>
Partnership: </b>Collaborate effectively with other team members and clients in HR</p></li><li><p><b>
Communication: </b>Strong written and oral communication skills, including visualization skills (i.e., able to &ldquo;tell the story&rdquo; and highlight key insights in a clear and concise manner that is easily understood by stakeholders)</p></li><li><p><b>
Results focus:</b><b> </b>Drives for results and achieves important goals applying strong organizational skills and detail orientation, even amidst ambiguity</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
At least 2 years of professional experience performing analysis</p></li><li><p>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</p><ul><li><p>
A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)</p></li><li><p>
A Mastr's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration</p></li></ul></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Master&rsquo;s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering</p></li><li><p>
1+ years of experience in Python</p></li><li><p>
1+ years of experience in SQL querying</p></li><li><p>
2+ years of experience in business analysis</p></li><li><p>
1+ years of experience in consulting</p></li></ul><p></p><p><b><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></b></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $111,200 - $126,900 for Sr. Business Analyst<br>
<p></p>
Richmond, VA: $101,100 - $115,400 for Sr. Business Analyst<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
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Sr. Business Analyst - People Strategy & Analytics

Divinatory Solutions

<p><b>Technical Research Analyst &ndash; On-Site | Karachi</b></p><p><b>Job Description</b></p><p>Divinatory Solutions is seeking a <b>Technical Research Analyst</b> with strong expertise in <b>technical research, data analysis, and technical writing</b>. The ideal candidate should be detail-oriented, analytical, and capable of producing high-quality research reports, literature reviews, and case studies using credible academic and industry sources.</p><p>Candidates with educational backgrounds in <b>Computer Science, Software Engineering, Artificial Intelligence, Cybersecurity, Information Technology, Machine Learning,</b> or other related disciplines are encouraged to apply.</p><p><b>Job Type:</b> Full-time (On-Site)<br/><b>Location:</b> Shahrah-e-Faisal, Karachi<br/><b>Salary:</b> PKR 70,000 &ndash; 100,000 per month<br/><b>Working Hours:</b> 9:00 AM &ndash; 5:00 PM or 10:00 AM &ndash; 6:00 PM<br/><b>Working Days:</b> Monday to Saturday</p><p><b>Key Responsibilities</b></p><ul><li>Conduct technical and academic research using credible journals, publications, and industry resources.</li><li>Collect, analyze, and interpret secondary data from academic, financial, and industry databases.</li><li>Prepare well-structured research reports, technical documentation, literature reviews, and case studies.</li><li>Apply APA, MLA, Chicago, and Harvard citation and referencing styles accurately.</li><li>Utilize research platforms such as Google Scholar, JSTOR, and other scholarly databases.</li><li>Perform quantitative and qualitative data analysis using appropriate statistical tools.</li><li>Present research findings clearly through professional reports and presentations.</li><li>Collaborate with internal teams to deliver high-quality research projects within deadlines.</li></ul><p><b>Required Skills</b></p><ul><li>Strong understanding of APA, MLA, Chicago, and Harvard referencing styles.</li><li>Proficiency in Python.</li><li>Experience with Microsoft Excel, SPSS, Stata, EViews, SmartPLS, or similar statistical and analytical tools.</li><li>Strong analytical thinking, research, and technical writing skills.</li><li>Excellent written and verbal communication skills.</li><li>Ability to work independently while managing multiple research assignments.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Cybersecurity, Information Technology, Machine Learning, or a related field.</li><li>1&ndash;3 years of experience in technical research, data analysis, report writing, or a related role.</li><li>Strong understanding of quantitative and qualitative research methodologies.</li><li>Candidates with published academic research or prior experience contributing to academic publications will be given preference.</li><li>Prior industry experience will be considered an advantage.</li></ul><p><b>Benefits</b></p><ul><li>Market competitive salary</li><li>Medical Coverage</li><li>Collaborative and research-focused work environment.</li></ul><p><b>How to Apply</b></p><p>Interested candidates should send their updated resume to <b>hr@divinatorysolutions.com</b> or apply via inbox.</p><p>Work Location: In person</p>

Technical Research Analyst

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