quantitative analyst

State Street

<div><div><b>Who we are looking for</b></div><div>
This role is for a Quantitative Research Analyst in the Systematic Equity team. The role is based in Riyadh and reports to the Lead Research Supervisor of Systematic Equity.</div><div></div><div>
Systematic Equity team manages a wide range of quantitative equity strategies over a broad active risk spectrum across global markets. The team has a deep history of delivering innovative risk-controlled alpha to our clients and we are looking for someone who can help shape the next phase of our growth with extraordinary analytical skills and passion for data science. You will have an opportunity to combine your analytical skills and investment insights with innovative data and modeling techniques on a cutting-edge distributed computing platform to solve investment problems.</div><div></div><div><b>
Why this role is important to us</b></div><div>
The team you will be joining is a part of State Street Investment Management, one of the biggest asset managers in the world, that provides services to the world&rsquo;s governments, institutions and financial advisors across the globe. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. Join us if making your mark in the asset management industry from day one is a challenge you are up for.</div><div></div><div><b>
What you will be responsible for</b></div><ul><li>
Generate ideas for investment process innovation and improvements with key focus in alpha generation and portfolio construction.</li><li>
Execute research projects including interpreting, presenting and implementing results.</li><li>
Contribute to maintaining and improving our state-of-the-art computing platform for research and production models.</li><li>
Explore and evaluate alternative data sources and machine learning techniques to solve investment problems better.</li></ul><div></div><div><b>
Education &amp; Preferred Qualifications</b></div><ul><li>
Advanced degree (PhD/MS or equivalent) in finance, economics or a quantitative discipline such as computer science, mathematics, statistics, physics or engineering.</li><li>
Minimum 2 years of work experience in quantitative finance.</li><li>
Deep knowledge of quantitative equity investments.</li><li>
Great analytical skills with solid knowledge in statistics.</li><li>
Strong problem solving capabilities with attention to details.</li><li>
Excellent coding skills with experience in Python and/or SQL. Experience with distributed computing is a plus.</li><li>
Strong working knowledge of theoretical and practical concepts in machine learning including natural language processing.</li><li>
Experience working with a large amount of structured/unstructured data is a plus.</li></ul><div></div><div><b>
About State Street</b></div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div></div>

Quantitative Research Analyst, Systematic Equity - AVP

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p></p><p>
The Senior Analyst, Quantitative Research supports the Banner Pricing Team within Orange Apron Media by producing prescriptive analytics, quantitative business insights and actionable visualizations that enable executive decision-making around ad pricing, campaign budgeting and revenue optimization. The role requires the ability to frame business problems in analytical terms, rapidly distill actionable recommendations, and handle multiple conflicting priorities. Along with the required business context, the Senior Analyst will need to leverage Google BigQuery / Python for data manipulation and analysis and Tableau for dashboarding (as needed). Depending on the task assigned, the Senior Analyst will collaborate cross-functionally or operate independently, under limited supervision.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Reports to Sr Manager</li><li>
Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li><li>
No travel Required</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Prior experience with SQL, Python and Tableau</li><li>
Machine learning experience</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div><p></p><p><br>
Apply End Date: 04/29/2026</p></div>

Sr. Analyst - Quantitative Research

Teacher Retirement System of Texas

<div></div><div><div><b>Quantitative Portfolio Management Senior Analyst - Associate</b><br>
</div><br>
<br>
<div></div><p><b>Requisition ID: </b>req1372<br>
<b>Employment Type:</b> Unclassified Regular Full-Time (URF)<br>
<b>Division:</b> Quantitative Equity Group<br>
<b>Compensation: </b>Depends on Qualifications<br>
<b>Job Closing: </b>6/30/2026<br>
<b>Location:</b> TRS Headquarters Building 2
<br>
1900 Aldrich Street<br>
Austin, TX, 78723<br>
United States
</p><p><b>WHO WE ARE:</b>
<br>
<br>
With the Investment Management Division (IMD) you will be joining a diverse group of achievers who celebrate the unique value individuals bring to support our shared cause: earning trust and contributing to the financial future of 2 million public education employees and retirees throughout Texas.
<br>
<br>
Navigating the current market environment takes innovation and we&rsquo;re passionate about stewarding the right investments to make an impact both in the lives of our members and all Texans. We invite you to partner with the best financial minds in the business to manage a global portfolio of over $220 billion in public and private investments. Our success starts with you.<br>
</p><br>
<p></p><div>The Quantitative Equity Group (QEG) Portfolio Management team is responsible for the design, implementation, and management of the systematic equity investment strategies within the IMD. We are seeking an Associate Quantitative Portfolio Manager with strong research, programming, and finance foundations to contribute across the full spectrum of the investment process&mdash;from trade generation and execution to portfolio construction and infrastructure development.<br>
<br>
This is a hands-on, cross-functional role requiring a deep understanding of advanced statistics and strong programming skills in Python. Expertise or strong interest in quantitative and fundamental investing is a plus. The successful candidate will work closely with senior portfolio managers, researchers, and technologists to operate and enhance production investment systems, while also contributing to the evolution of our alpha, risk, and implementation frameworks. This position reports to the Head of Quantitative Portfolio Management.<br>
<br>
<b>WHAT YOU WILL DO:</b><br>
<br>
<b>Portfolio Management</b><br>
<ul><li>Constructs portfolios, generates trade orders, and manages execution across multiple regional equity strategies, ensuring accuracy, efficiency, and alignment with investment objectives.</li><li>Contributes to daily portfolio management activities by tracking position-level exposures, assessing risk metrics, and conducting performance attribution analyses.</li><li>Gains deep fluency in the structure and logic of the team&rsquo;s Python-based production codebase.</li><li>Maintains, debugs, and enhances the codebase to support evolving investment and operational needs.</li><li>Collaborates with technologists to ensure robustness, scalability, and transparency of production systems.</li><li>Maintains a high level of awareness of market dynamics, liquidity conditions, and macroeconomic developments.</li><li>Translates market insights into actionable decisions and risk-aware portfolio adjustments.</li></ul><br>
<b>
Research &amp; Development</b><br>
<ul><li>Performs cutting edge research to improve the existing process across alpha generation, signal integration, risk modeling, portfolio construction, transaction cost analysis, and implementation.</li><li>Develops Python-based algorithms and interfaces with relational and NoSQL databases to access and analyze data.</li><li>Presents and defends research findings to senior portfolio managers and leadership.</li><li>Collaborates with researchers and software engineers to bring projects to completion.</li></ul></div><p><b><br>
Performs related work as assigned.</b></p><br>
<br>
<div><b>WHAT YOU WILL BRING:</b><br>
<br>
<b>Required Education</b><br>
<ul><li>Bachelor&rsquo;s degree from an accredited four-year college or university with major course work in mathematics, statistics, computer science, financial engineering, economics, or a closely related field.</li></ul><br>
<b>
Required Experience</b><br>
<ul><li>One (1) year of full-time directly related, progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience <b>(Senior Analyst)</b>.</li><li>One (1) year of full-time directly related, progressively responsible experience working with Python or related experience <b>(Senior Analyst)</b>.</li><li>Three (3) years of full-time directly related, progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience <b>(Associate)</b>.</li><li>Three (3) years of full-time directly related, progressively responsible experience working with Python or related experience <b>(Associate)</b>.</li><li>Experience may be concurrent.</li><li>Master&rsquo;s degree in a related field may substitute for one year of the required investment experience.</li><li>A Doctorate degree/PhD in computer science, engineering, finance, mathematics/statistics, physical sciences, or a related area may substitute for five (5) years of the required experience.</li></ul><br>
<b>
Required Registration, Certification, Licensure</b><br>
<ul><li>None</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul><li>Full-time directly related, progressively responsible experience in financial markets, quantitative investing, and fundamental investing (or strong interest in the aforementioned).</li><li>Master&rsquo;s degree or Doctorate degree/PhD in economics, statistics, mathematics, computer science, engineering, financial engineering, or a related field.</li></ul><br>
<b>
Knowledge of:</b><br>
<ul><li>Statistics/Econometrics, Computer Science/Machine Learning, and advanced mathematical foundations (Linear Algebra, Calculus, Probability).</li><li>Quantitative code development with fluency in Python or a related programming language, version control and collaboration tools (GitHub).</li><li>Investment concepts, terminology, styles, models, strategies, and fundamental investment factors.</li></ul><br>
<b>
Skills in:</b><br>
<ul><li>Conducting data searches and evaluations of large amounts of information, performing complex statistical analysis of the data, and preparing concise and accurate reports and written/oral recommendations.</li><li>Planning, organizing, and prioritizing work assignments to manage a high-volume workload in a fast-paced and changing environment and complete detailed work with a high degree of accuracy.</li><li>Verbal and written communication of complex information that is accurate, timely, and based on sound judgment.</li></ul><br>
<b>
Ability to:</b><br>
<ul><li>Work collaboratively in an applied quantitative investment research environment.</li><li>Drive quantitative investment research projects through to completion under supervision of senior investment professionals.</li></ul></div><br>
<br>
<br>
<b>Military Occupational Specialty (MOS) Codes:</b>
<br>
Veterans, Reservists or Guardsmen with experience in the Military Occupational Specialty ( https://www.trs.texas.gov/files/trs-military-crosswalk.xlsx ) along with the minimum qualifications listed above may meet the minimum requirements and are highly encouraged to apply. Please contact Talent Acquisition at careers@trs.texas.gov with questions or for additional information.
<br>
<br>
To view all job vacancies, visit www.trs.texas.gov/careers or www.trs.csod.com/careersite.
<br>
<br>
For more information, visit www.trs.texas.gov.</div><p></p>

Quantitative Portfolio Management Senior Analyst - Associate

The Content House

<p>We are looking for a motivated <b>Fresh Graduate in Computational Finance</b> to join our dynamic team. This is an excellent opportunity for recent graduates who are passionate about financial modeling, quantitative analysis, and data-driven decision-making.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in developing and implementing financial models</li><li>Support quantitative analysis for trading, risk management, or investment strategies</li><li>Work with large datasets to derive actionable insights</li><li>Collaborate with cross-functional teams on financial engineering projects</li><li>Participate in model validation and performance monitoring</li></ul><p><b>Qualifications:</b></p><ul><li>Recent graduate (2025 or 2026 batch) with a degree in <b>Computational Finance, Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related field</b></li><li>Strong analytical and problem-solving skills</li><li>Basic programming knowledge in <b>Python, R, MATLAB, or C++</b></li><li>Understanding of financial markets, derivatives, and risk management is a plus</li><li>Excellent communication and teamwork skills</li></ul><p>Pay: Rs40,000.00 - Rs60,000.00 per month</p><p>Work Location: In person</p>

Fresh Graduate – Computational Finance Analyst

Futures First

<div><div><p>Job Information</p>
</div><div></div><div><div><div><div>Location
<p>Hyderabad</p>
</div></div></div><div></div><div><div><div>Post Date
<p>26 March, 2026</p>
</div></div></div><div></div><div><div><div>Date of Joining
<p>Immediate</p>
</div></div></div><div></div><div><div><div>Experience
<p>2-3 Years</p></div></div></div></div></div><div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Position Summary</b></h2><p>
Futures First offers a unique opportunity in India to work in the world&rsquo;s most stimulating, liquid, and well-developed derivatives markets. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated graduates to join a vibrant and dynamic business.</p><p>
At Futures First we are committed to providing our employees the best in technology, infrastructure and training to enable them to succeed.</p><h2 class="jobSectionHeader"><b>
Job Profile</b></h2><p>
As a Quantitative Engineer, you will leverage your technical and analytical skills to develop innovative technology solutions that support and enhance our market strategies.</p><h2 class="jobSectionHeader"><b>
Job Responsibilities</b></h2><ul><li>
Collaborate with the Quant and Algo teams to develop and maintain software infrastructure supporting quantitative research.</li><li>
Work across the full software development lifecycle, from requirements gathering to implementation and deployment.
</li><li>Develop and maintain front-end web applications, back-end services, and APIs.
</li><li>Write clean, well-documented, and well-tested code.</li><li>
Participate in code reviews and provide constructive feedback.</li><li>
Stay up to date with the latest trends and technologies in software development.</li><li>
Work closely with Financial Market Analysts to gather requirements and develop technical solutions tailored to their needs.</li><li>
Maintain and enhance existing tools and global applications.</li><li>
Work with historical and live data from derivative markets across global exchanges.</li><li>
Collaborate with Market Analysts to design and implement strategies.</li><li>
Build tools that enable analysts to make quick and effective market decisions.</li></ul><h2 class="jobSectionHeader"><b>
Requirements</b></h2><h3 class="jobSectionHeader"><b>
Education Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Electronics &amp; Communication, or a related field.</li><li>
Degree or coursework in Data Science is a plus.</li><li>
Please apply with an updated resume that includes your GitHub profile.</li></ul><h3 class="jobSectionHeader"><b>
Skillset</b></h3><ul><li>
Strong hands-on experience in Python and JavaScript.</li><li>
Experience with front-end frameworks such as React or Angular.</li><li>
Experience with backend frameworks such as FastApi/Flask or Node.js.</li><li>
Experience with Git, Docker and Kubernetes.</li><li>
Understanding of software development practices (testing, code reviews, CI/CD).</li><li>
Experience with databases and SQL.
</li><li>Knowledge of data analysis (mandatory).</li><li>
Familiarity with C++, AI/ML concepts is a plus.</li><li>
Strong communication skills and ability to work with non-technical stakeholders.</li></ul><h3 class="jobSectionHeader"><b>
Work Experience:</b></h3><p>
Experience of at least 2-3 years in a full-stack development or quantitative role.</p>
</div><div></div><div><div><h2 class="jobSectionHeader"><b>Why Join Futures First?</b></h2>
<p>Join Futures First for career growth, market exposure, continuous learning, and a collaborative, dynamic work environment.</p>
<div>Read More</div></div></div></div><div></div>

Quantitative Engineer – Quant & Algo

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><br>
We are seeking a highly skilled and motivated Vice President to join our Credit Quantitative Trading (QT) team, within the JPMorgan Quantitative Trading and Research (QTR) umbrella. This is a unique opportunity to work with Credit asset class, specifically in corporate bonds, bond portfolios, and fixed income ETFs globally. You will be involved in comprehensive analytics, models, and tools used in various trading activities within High-Touch and Low-Touch (Algo/Systematic) bond market making.</div><div>
</div><div><b>Job Summary:</b></div><p>
As a Vice President on our Credit Quantitative Trading and Research team, you will have the opportunity to collaborate with cross-functional teams, leveraging AI/ML to enhance our trading strategies and decision-making processes. You will explore and integrate various AI/ML methodologies into our modeling approach. This involves a scientific exploration of innovative techniques, with a focus on developing and deploying proven results in a production setting end-to-end. You need to be a forward-thinking individual who can bridge the gap between cutting-edge research and practical application, ensuring that AI/ML models are robust, scalable, and aligned with business objectives and success criteria. This is an exciting role for those who appreciate how every part of the business connects well together and are eager to contribute to the evolution of our quantitative research capabilities.</p><div>
</div><div><b>Job Responsibilities:</b></div><ul><li>
Investing in existing AI/ML models and continuously improving capabilities to keep up with modern frameworks</li><li>
Collaborate with market makers, traders, and other stakeholders to support trading activities and strategies.</li><li>
Analyze market trends and large datasets, translating them into actionable insights using various methodologies relevant to the projects.</li><li>
Design and implement tools and systems end-to-end, ensuring that models and analytics comply with industry best practices.</li><li>
Foster a deep understanding of how different parts of the business connect and contribute to the overall success of both the individual and the team.</li><li>
Drive projects with a keen eye from a quantitative research perspective, ensuring they progress in the right direction for long-term success.</li><li>
</li></ul><div><b>Required Qualifications, Capabilities, and Skills:</b></div><ul><li>
A post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science) with hands-on experience in AI/ML timeseries models and traditional statistical modeling.</li><li>
Minimum 3 to 5 years of experience in a quantitative research or related role within e-trading space</li><li>
Strong knowledge of corporate credit, fixed income markets, and ETFs.</li><li>
Excellent analytical skills with a keen attention to detail and a systematic approach to problem-solving, with a willingness to explore new ideas.</li><li>
Ability to work collaboratively in a fast-paced, dynamic environment, while also demonstrating independent thinking and exceptional organizational capabilities.</li><li>
Strong communication skills to effectively convey complex concepts to non-technical stakeholders.</li></ul><div>
</div><div><b>Preferred Qualifications, Capabilities, and Skills:</b></div><ul><li>
Expertise in deep learning, time series modeling, with the ability to experiment with and apply various modeling techniques to enhance predictive accuracy and insights.</li><li>
Advanced proficiency in programming languages such as Python and Java, enabling the development and implementation in libraries, micro-services, and systems.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Quantitative Trading & Research - Credit - Vice President

<div>
 <p>
  We are seeking a Data Analyst who will turn raw data into insights that drive mission decisions, operational improvements, and AI-enabled capabilities. This role blends analytical rigor with creativity, identifying trends, communicating findings, and helping shape data-driven recommendations for leadership across complex programs. This role onsite in Quantico, VA customer.&nbsp;&nbsp;
 </p>
 <p>
  <strong>
   <span>
    Essential Duties &amp; Responsibilities:
   </span>
  </strong>
 </p>
 <ul>
  <li>
   Analyze mission and program data to identify trends, issues, and opportunities.
  </li>
  <li>
   Generate dashboards, reports, and data visualizations to support leadership decision-making.
  </li>
  <li>
   Work with data engineers to define data requirements and improve data quality.
  </li>
  <li>
   Support AI readiness activities by assessing dataset completeness, usability, and patterns.
  </li>
  <li>
   Translate complex findings into clear, mission-relevant insights.
  </li>
  <li>
   Conduct baseline and post-implementation analysis to measure improvement.
  </li>
 </ul>
 <p>
  <strong>
   <span>
    Required Skills &amp; Experience:
   </span>
  </strong>
 </p>
 <ul>
  <li>
   1 + years of data analytics or quantitative analysis experience.
  </li>
  <li>
   Strong proficiency with Excel, Power BI, Tableau, or similar tools.
  </li>
  <li>
   Ability to analyze large datasets using SQL or scripting languages (Python preferred).
  </li>
  <li>
   Strong communication and storytelling skills.
  </li>
  <li>
   Secret clearance.
  </li>
 </ul>
 <p>
  <strong>
   <span>
    Desired Skills &amp; Experience
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
 </p>
 <ul>
  <li>
   Experience with AI solution rollouts or cloud modernization efforts.
  </li>
  <li>
   Familiarity with federal or regulated environments.
  </li>
  <li>
   Knowledge of data governance or metadata management.
  </li>
 </ul>
 <p>
  <strong>
   <span>
    Application Deadline:
   </span>
  </strong>
  <span>
   &nbsp;
  </span>
  <span>
   5-1-2026
  </span>
 </p>
 <p>
  <span>
   #
  </span>
  <span>
   LI-SA1
  </span>
 </p>
 <p>
  &nbsp;The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning &amp; development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
 </p>
 <p>
  The proposed salary for this position is:: $122,000 USD - $160,000 USD
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 SMX is an Equal Opportunity employer including disabilities and veterans.
 <p>
  Selected applicant may be subject to a background investigation and/or education verification.
 </p>
 <p>
  SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
 </p>
 <p>
  &nbsp;
 </p>
</div>


Data Analyst (5080)

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