quantitative analyst

Almond Fintech

<p>Almond is a <b>B2B fintech company</b> transforming <b>cross-border payments</b> by empowering financial institutions and their customers with the <b>best possible FX rates</b> and <b>near-instant settlements</b> across all corridors globally. With Almond technology, institutions can guarantee <b>fast, affordable, and transparent</b> cross-border transactions. Finally.</p><p>With financial institution partnerships across the world, our <b>remote team is growing globally</b>, and we&rsquo;re seeking to add more <b>smart and talented people</b>. This is an amazing opportunity to get in on the ground floor with a team focused on both <b>social impact</b> and a <b>significant market opportunity</b>.</p><p><b>Role Summary</b></p><p>We&rsquo;re looking for a <b>hands-on, data-driven Quantitative Forex Analyst</b> to help us <b>build and scale core trading and settlement infrastructure</b> at Almond. This is <b>not a passive analytics role</b> &mdash; you&rsquo;ll be directly responsible for <b>developing forex trading strategies, optimizing execution, and improving cross-border payment performance</b>.</p><p>You&rsquo;ll work closely with <b>engineering, product, finance, and leadership</b> to design and implement <b>quantitative models</b> that enhance <b>FX pricing, liquidity routing, and blockchain-based settlement</b>. You should be comfortable working with <b>noisy real-world data</b>, navigating <b>market complexity</b>, and turning insights into <b>production-ready solutions</b>.</p><p>This role is <b>fully remote across the Americas</b>, with candidates expected to work within a <b>time zone that overlaps with our North America-based team</b>.</p><p><b>Responsibilities</b></p><ul><li><b>Develop, test, and optimize forex trading strategies</b> to improve FX rates and identify <b>new revenue opportunities</b></li><li><b>Design algorithmic routing and execution strategies</b>, including <b>blockchain-based settlement optimization</b></li><li>Analyze <b>FX market microstructure</b>, including <b>liquidity, spreads, and execution performance</b></li><li>Partner with <b>engineering teams</b> to implement and monitor models in <b>production environments</b></li><li>Identify <b>geographic expansion opportunities</b> through pricing and currency pair analysis</li><li>Collaborate with <b>finance and product teams</b> to refine <b>pricing strategies and unit economics</b></li><li>Build <b>data visualizations</b> and clearly communicate insights to <b>technical and non-technical stakeholders</b></li></ul><p><b>Requirements</b></p><ul><li><b>5+ years of experience</b> in <b>quantitative research, data science, or trading</b>, ideally in <b>financial services, fintech, or trading firms</b></li><li>Strong understanding of <b>FX markets</b>, including <b>currency pairs, pricing conventions, and liquidity dynamics</b></li><li>Proven ability to identify <b>market patterns and inefficiencies</b></li><li><b>Proficiency in Python</b> and tools such as <b>pandas, numpy, and scikit-learn</b></li><li>Experience working with <b>APIs and large, raw datasets</b></li><li>Strong foundation in <b>statistics</b>, including <b>regression and time-series analysis</b></li><li>Experience with <b>backtesting, hypothesis testing, and model validation</b></li><li>Ability to <b>translate complex data into actionable insights</b></li><li>Comfortable working in a <b>fast-paced, high-autonomy environment</b></li></ul><p><b>Nice to Haves</b></p><ul><li>Experience with <b>algorithmic trading systems or execution strategies</b></li><li>Familiarity with <b>blockchain technology and cryptocurrency markets</b></li><li>Experience with <b>data engineering tools</b> (e.g., Spark, Databricks, dbt, ETL pipelines)</li><li>Background in <b>cross-border payments, remittances, or FX platforms</b></li><li>Experience in a <b>startup or high-growth environment</b></li></ul><p><b>Compensation Range</b></p><ul><li><b>Base Salary:</b> $90,000&ndash;$120,000 per annum <i>(based on experience)</i></li><li><b>Bonus:</b> Discretionary <i>(based on company and individual performance)</i></li><li><b>Equity:</b> Stock Options <i>(based on experience and impact)</i></li></ul><p><b>Why You&rsquo;ll Love This Role</b></p><ul><li><b>Direct impact</b> on core trading and payment infrastructure used by <b>global financial institutions</b></li><li>Work on <b>cutting-edge FX, fintech, and blockchain systems</b></li><li><b>High-visibility role</b> with exposure to <b>leadership and cross-functional teams</b></li><li>Ownership of <b>end-to-end quantitative projects</b> from research to production</li></ul><p><b>Benefits</b></p><ul><li><b>Unlimited PTO</b></li><li><b>Fully remote work environment</b></li></ul><p><b>Equal Opportunity Employer</b></p><p><b>Almond </b>is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, disability, veteran status, or any other legally protected characteristic. We celebrate diversity and strive to create an inclusive environment for all employees.</p><p>Job Type: Full-time</p><p>Pay: $90,000.00 - $120,000.00 per year</p><p>Benefits:</p><ul><li>Paid time off</li></ul><p>Application Question(s):</p><ul><li>Do you have at least 5+ years of experience in quantitative research, data science, or trading, ideally in financial services, fintech, or trading firms?</li><li>Do you have a strong understanding of FX markets, including currency pairs, pricing conventions, and liquidity dynamics</li><li>On a scale of 1-10 (highest), rate your level of proficiency in Python and tools such as pandas, numpy, and scikit-learn.</li><li>Do you have experience with backtesting, hypothesis testing, and model validation?</li></ul><ul><li>Do you have any experience on the following Nice-to-Haves?</li></ul><p>Nice to Haves<br/>- Experience with algorithmic trading systems or execution strategies<br/>- Familiarity with blockchain technology and cryptocurrency markets<br/>- Experience with data engineering tools (e.g., Spark, Databricks, dbt, ETL pipelines)<br/>- Background in cross-border payments, remittances, or FX platforms<br/>- Experience in a startup or high-growth environment</p><p>Work Location: Remote</p>

Quantitative Forex Analyst

Goldman Sachs

<div><div><div><div><div><div><div><p>Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.</p>
<p><b>
Responsibilities</b></p>
<p>
As a strategist on our PWM Risk Strats team, you will work closely with various teams including risk management and fraud strategy. You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.</p>
<p>
Responsibilities include:</p>
<ul><li>
Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement</li><li>
Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management</li><li>
Develop AI-led solutions to improve efficiency and accuracy in risk management.</li><li>
Building and maintaining robust and systematic risk management tools and reporting</li><li>
Collaborating on the design of new and existing strategies to address clients&rsquo; investment goals.</li><li>
Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.</li><li>
Building and maintaining infrastructure of Strategists&rsquo; analytical systems.</li></ul><br>
<p></p>
<p><b>
About Goldman Sachs Wealth Management</b></p>
<p>
Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.</p>
<p><b>
Basic Qualifications</b></p>
<ul><li>
Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li><li>
1-3 years of experience in the job offered or related quantitative financial modeling and software development positions</li><li>
Programming and mathematical skills are required</li><li>
Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences</li><li>
A self-starter, should have ability to work independently as well as thrive in a team environment</li><li>
Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li><li>
Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li><li>
Experience with prompt engineering, working with LLM models, and MCP.</li><li>
Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li></ul>
<p><b>
Preferred Qualifications</b></p>
<ul><li>
Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li><li>
Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li><li>
Experience with prompt engineering, working with LLM models, and MCP.</li><li>
Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li></ul>
<p><b>
ABOUT GOLDMAN SACHS</b></p>
<p>
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</p>
<p>
We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html&copy;</p>
<p>
The Goldman Sachs Group, Inc., 2023. All rights reserved.</p>
<p>
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.</p></div></div></div></div></div></div><div><div><div><div><div><b>
We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Analyst
OFFICE LOCATION(S)
Dallas
JOB FUNCTION
Quantitative Engineering
DIVISION
Asset &amp; Wealth Management</p>

Asset & Wealth Management - Quantitative Strategist - Analyst - Dallas

University of Louisiana at Lafayette

<div><p><b>Position Title</b>: Data Analyst</p><p><b>
Department</b>: 9261|Kathleen B Blanco Public Policy Ctr</p><p><b>
Responsibilities</b>:</p><p><b><br>
Data Analyst</b><br>
The Kathleen Blanco Public Policy Center at the University of Louisiana at Lafayette is an independent, interdisciplinary research center and archive engaged in research across a range of topics in public policy. Our core policy areas of focus include education, poverty and economic opportunity, criminal justice reform, health and healthcare, the coast and environment, and governmental ethics.</p><p><b>
Responsibilities:</b><br>
The Data Analyst is a staff researcher who is expected to support research efforts at the intersection of data analysis and public policy. A successful Data Analyst will provide leadership for data-intensive research projects and contribute to other projects that need advanced data analysis. The Data Analyst will help support grant and other funding opportunities that will help expand the Center's capacity for research. In their work at the center, the Data Analyst will collaborate with other members of the Blanco Center team as well as researchers across campus and beyond.</p><p><b>
Essential Functions:</b></p><ul><li>
Provide technical support across a range of research projects</li><li>
Manage research tasks including timelines to complete interim steps and contribute toward overall project completion, ensuring timely completion of major milestones and project deliverables</li><li>
Manage, organize, summarize, and visualize data using R</li><li>
Interpret/prepare data and draft narrative material for incorporation into research reports, both for public consumption and for use in the Blanco Center&rsquo;s research and publications</li><li>
Provide constructive recommendations on design and implementation of research projects to senior members of the Blanco Center staff</li><li>
Support efforts to secure new research</li><li>
Participate in virtual and in-person meetings with external partners and research sponsors</li></ul><p></p><p><b>
Qualifications:</b></p><p><b><br>
Required Qualifications</b>:<br>
Bachelor&rsquo;s degree in Statistics, Economics, Political Science, Sociology, Urban Planning, Quantitative Social Sciences, Biostatistics, or a related field, and 3-5 years of related work experience. A graduate degree in a related field will substitute for 3-5 years of experience.<br>
<br>
<b>Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s degree in Statistics, Economics, Political Science, Sociology, Urban Planning, Quantitative Social Sciences, Biostatistics, or a related field</li><li>
Previous coursework and research experience in at least one Blanco Center priority policy area</li><li>
Experience working with R, Python, Tableau, Power BI, STATA, and/or ArcGIS are preferred</li><li>
Demonstrated creativity in problem solving, self-motivation, and ability to work collaboratively in teams</li>
Exceptional written and oral communication skills, analytical skills, and familiarity with a range of computer software (including but not limited to Microsoft Office)<br>
<li>
<br>
</li></ul><p></p><p><b>Job Ad# </b>(req4443)</p></div>

Data Analyst

FeedBack Market Research

<p><b>Key Responsibilities</b></p><ul><li><b>Data Collection:</b> Gather data from primary (surveys, interviews) and secondary sources (reports, databases, publications).</li><li><b>Data Analysis:</b> Use statistical tools and software (e.g., Excel, SQL, Python) to analyze trends and patterns.</li><li><b>Market &amp; Industry Research:</b> Study market conditions, competitors, and consumer behavior.</li><li><b>Report Writing:</b> Prepare detailed reports, presentations, and dashboards summarizing findings.</li><li><b>Forecasting:</b> Predict trends and outcomes based on historical data.</li><li><b>Client/Stakeholder Support:</b> Provide insights to support business strategies and decision-making.</li><li><b>Quality Assurance:</b> Ensure accuracy, reliability, and validity of data.</li></ul><p><b>Required Skills</b></p><ul><li>Strong <b>analytical and critical thinking</b></li><li>Proficiency in tools like <b>Microsoft Excel, Power BI, Tableau</b></li><li>Knowledge of <b>statistics and data modeling</b></li><li>Excellent <b>written and verbal communication</b></li><li>Attention to detail</li><li>Problem-solving mindset</li></ul><p><b>Educational Requirements</b></p><ul><li>Bachelor&rsquo;s degree in:</li><li>Economics</li><li>Business Administration</li><li>Finance</li><li>Statistics</li><li>Data Science</li><li>A master&rsquo;s degree (optional but beneficial) like MBA or MSc in Analytics</li></ul><p><b>Common Types of Research Analysts</b></p><ul><li><b>Market Research Analyst</b> &ndash; focuses on consumer behavior and market trends</li><li><b>Financial Research Analyst</b> &ndash; analyzes stocks, bonds, and investments</li><li><b>Data/Quantitative Analyst</b> &ndash; focuses heavily on data modeling and programming</li><li><b>Policy Research Analyst</b> &ndash; works with governments or think tanks</li></ul><p><b>Typical Work Environment</b></p><ul><li>Corporate offices</li><li>Consulting firms</li><li>Financial institutions</li><li>Government agencies</li><li>Remote/Hybrid roles are increasingly common</li></ul><p>Job Type: Full-time</p><p>Location:</p><ul><li>Riyadh (Required)</li></ul><p>Work Location: In person</p>

Research Analyst

NORC at the University of Chicago

<div><div><div><div><div><b>JOB SUMMARY:</b></div><div><br>
<div>
</div><div><p>NORC at the University of Chicago is seeking a qualified Data Analyst I or II (we are open to hiring at either level) to join the Methodology and Quantitative Social Sciences department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Data Scientists and Research Methodologists to perform tasks including importing, cleaning, standardizing, transforming, and validating data sets.</p>
<p>
Data Analysts also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment.</p>
<p><i>
Qualified applicants must be eligible to work in the U.S now and in the future. We regret that we are unable to offer visa sponsorship for this position.</i></p>
<p><b>
Location</b>: This is a hybrid role based in our Chicago Loop office, with a minimum of six days per month in the office.</p></div><br>
</div>
</div><br>
<div><div><b>DEPARTMENT: Methodology and Quantitative Social Sciences</b></div>
<div>
<div><p>The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC&rsquo;s research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects.</p></div><br>
</div>
</div><br>
<div><div><b>RESPONSIBILITIES:</b></div>
<div><ul><li>Collaborate with methodologists and subject matter experts to implement and improve data management and analysis activities.</li>
<li>Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation</li>
<li>Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries.</li>
<li>Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations.</li>
<li>Perform various types of data analysis and modeling, often involving multiple data sets.</li>
<li>Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics.</li>
<li>Apply AI tools to help improve efficiency.</li>
<li>Perform other duties as assigned.</li>
</ul>
</div></div><br>
<div><div><b>REQUIRED SKILLS:</b></div>
<div><ul><li>Bachelor&rsquo;s degree in social science with a computational social science emphasis or data science.</li>
<li>0-2 years&rsquo; relevant experience (internships included.)</li>
<li>Programming in statistical packages and databases: R, Python, and SQL required.</li>
<li>Familiarity working with large data sets, conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation.</li>
<li>Strong foundation in areas of social science research, analytic methods, data engineering, machine learning, and scientific methods of inquiry.</li>
<li>Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization.</li>
<li>Working knowledge of different types of data that can be sourced whether from administrative data, surveys, social media, or sensor data.</li>
<li>Strong skills in problem solving and quantitative analysis are required, including a willingness to understand deviations and ask questions about data issues.</li>
<li>Able to organize and prioritize work assignments to meet project needs.</li>
<li>Strong communication, writing and data storytelling skills.</li>
<li>Enthusiasm for teamwork and collaboration across disciplinary boundaries.</li>
<li><i>Qualified applicants must be eligible to work in the U.S now and in the future. We regret that we are unable to offer visa sponsorship for this position.</i></li>
</ul>
<p><b>Preferred Skills:
</b></p><ul><li>Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems</li>
<li>Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash)</li>
<li>Experience with JavaScript programming.</li>
</ul>
</div></div><br>
<div><div><b>SALARY AND BENEFITS:</b></div>
<div>
<div><p>The pay range for this position is $62,000-$73,000.</p>
</div>
<div><p>This position is classified as regular. Regular staff are eligible for NORC&rsquo;s comprehensive benefits program. Benefits include, but are not limited to:</p>
</div>
<div><div><ul><li><p>Generously subsidized health insurance, effective on the first day of employment</p>
</li>
<li><p>Dental and vision insurance</p>
</li>
<li><p>A defined contribution retirement program, along with a separate voluntary 403(b) retirement program</p>
</li>
<li><p>Group life insurance, long-term and short-term disability insurance</p>
</li>
<li><p>Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP).</p>
</li>
</ul></div></div><div><p><i>NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate&rsquo;s placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.<br>
</i></p></div></div></div><br>
<div><div><b>WHAT WE DO:</b></div>
<div>
<p>NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.</p></div><br>
</div><br>
<div><div><b>WHO WE ARE:</b></div>
<div>
<p>For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we&rsquo;re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.</p></div><br>
</div><br>
<div><div><b>EEO STATEMENT:</b></div>
<div>
<p>NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.</p></div></div></div></div></div><p></p>

Data Analyst I or II - Methodology and Quantitative Social Sciences - Chicago Loop Hybrid

TotalEnergies

<div>
 <strong>
  <strong>
   Contexte et environnement
  </strong>
  <br/>
  <br/>
 </strong>
 In line with TotalEnergies&rsquo; objective of achieving carbon neutrality by 2050, the company is rapidly expanding its global presence across the entire power value chain, with a particular focus on the fast‑growing sectors of renewables and flexible generation assets. To fully capture the value of these power assets in spot markets, TotalEnergies Gas &amp; Power aims to participate at every stage of the value chain&mdash;from curve trading to Day‑Ahead optimization, Intraday activity, and ancillary services. Short‑term power optimization is built on a U.S. framework that aggregates generation assets (CCGT, wind, solar), flexibilities (DSR, batteries), and the power‑supply portfolio to maximize value creation for the company.
 <br/>
 <br/>
 The job holder is part of the Algorithmic Trading team based in Houston and collaborates closely with sister teams in Geneva. The team operates within an uncertain and highly volatile energy‑commodity trading environment influenced by global economic conditions, energy‑resource development, political and legislative changes, climate‑related factors, and evolving energy demand. It is a competitive landscape with significant pressure, time‑critical activities, and a high‑stress working environment.
 <br/>
 <br/>
 Operations run automatically seven days a week with daily submissions. Onsite presence is required five days per week, with periodic short‑term remote oversight on weekends and holidays.
 <br/>
 <br/>
 <strong>
  <strong>
   Activit&eacute;s
  </strong>
  <br/>
  <br/>
 </strong>
 The role leads the team&rsquo;s quantitative and modeling efforts at the forefront of data science in the energy sector. You will be expected to apply advanced modeling techniques to support strategic decision‑making and contribute directly to P&amp;L generation. You will also provide data‑science expertise across the team, offering support on a wide range of modeling and optimization topics.
 <br/>
 <br/>
 <ul>
  <li>
   Purpose: The position sits within the Modelling and Analysis for Trading Strategy (MATS) department, which leads the end‑to‑end design and development of trading strategies, quantitative models, advanced analytical and AI tools, and market research that support optimized decision‑making across all TGP trading desks. Positioned at the strategic intersection of Trading, Risk Management, and IT, the team ensures agility, robustness, and continuous innovation in the algorithms that drive TGP&rsquo;s market strategy.
  </li>
  <li>
   Objectives: Contribute to the growth of the Algo‑trading activity by developing forecasting models, decision‑making algorithms, and positioning optimizations. Build virtual DA‑RT strategies and intraday proprietary trading strategies within the established risk‑policy framework and compliance rules for U.S. nodal power markets.
  </li>
  <li>
   Impact: The role directly influences TGP&rsquo;s trading performance by supporting long‑term P&amp;L growth through scalable trading strategies and durable analytical infrastructure. It requires strong technical skills, sound risk awareness, critical thinking, and a collaborative mindset. This is a strategic position that strengthens TotalEnergies Gas &amp; Power&rsquo;s presence in U.S. short‑term power markets.
  </li>
  <li>
   Location: Based in Houston.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Tasks:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop trading models using the MATS libraries, covering the full lifecycle from data ingestion to live result delivery, including feature engineering, data optimization, model tuning, risk and positioning models, performance monitoring, and probability meta‑optimization.
  </li>
  <li>
   Create new indicators and features to enhance machine‑learning and quantitative models used in algorithmic trading.
  </li>
  <li>
   Monitor model performance in both live and paper‑trading environments.
  </li>
  <li>
   Oversee production deployment of models in collaboration with squad members and cross‑functional MATS teams.
  </li>
  <li>
   Improve algorithmic‑trading strategies through research on U.S. nodal power markets.
  </li>
  <li>
   Analyze large datasets to generate meaningful insights that support strategy development.
  </li>
  <li>
   Coordinate with team members to ensure high‑quality back‑testing, validation, and methodological robustness.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Profil du candidat
  </strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Talented and highly motivated individual with a strong technical or engineering background, holding a BEng, MSc, or PhD in a quantitative field such as Mathematics, Physics, Machine Learning, Optimization, or Computer Science.
  </li>
  <li>
   One to three years of experience deploying machine‑learning models in production (delivering live forecasts) and/or formulating and solving bet‑sizing and positioning problems as stochastic optimization under uncertainty.
  </li>
  <li>
   Proficiency in Python, MongoDB, and Shell scripting, with a solid understanding of software architecture and SQL.
  </li>
  <li>
   Familiarity with Docker and DevOps/MLOps practices, including CI/CD workflows.
  </li>
  <li>
   In‑depth knowledge of machine‑learning techniques, including supervised and unsupervised modeling.
  </li>
  <li>
   Strong understanding of quantitative bet‑sizing methods such as utility‑based approaches, Kelly‑fraction techniques, and risk‑constrained optimization.
  </li>
  <li>
   Practical experience with time‑series analysis, particularly in the context of energy markets and trading signals.
  </li>
  <li>
   Ability to analyze complex systems and identify indirect correlations across diverse signals.
  </li>
  <li>
   Strong project‑management capabilities with clear communication and effective reporting skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional and advantageous qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Broad understanding of energy and commodities markets, including supply‑side dynamics.
  </li>
  <li>
   Experience with project‑management tools such as Wrike, Jira, or Linear.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Informations suppl&eacute;mentaires
  </strong>
  <br/>
  <br/>
 </strong>
 <strong>
  TotalEnergies valorise la diversit&eacute;, promeut le d&eacute;veloppement individuel et offre des opportunit&eacute;s d'emploi &eacute;gales &agrave; tous les candidats.
 </strong>
</div>


Data Scientist - Quantitative Trading

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

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