quantitative researcher

Triumph

<div>
 
 The Role
 
 
 
 As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.
 
 
 You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Monetization &amp; Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.
 </li>
 <li>
 User Journey &amp; Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.
 </li>
 <li>
 Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.
 </li>
 <li>
 Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.
 </li>
 <li>
 Growth &amp; Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.
 </li>
 <li>
 Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.
 </li>
 <li>
 True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.
 </li>
 <li>
 Proficiency in Python and SQL.
 </li>
 <li>
 Experience working with large-scale user or behavioral datasets.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.
 </li>
 <li>
 Prior experience as a quantitative trader or quantitative researcher.
 </li>
 <li>
 Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
 </li>
 <li>
 Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.
 
 
 </li>
 </ul>
 
 Why Triumph?
 
 
 
 <ul>
 <li>
 High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
 </li>
 <li>
 High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
 </li>
 <li>
 High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
 </li>
 <li>
 Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.
 
 
 </li>
 </ul>
 Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.
 
 
 Compensation Range: $200K - $400K
 
 
</div>

Data Scientist

More in Common

<div>
 
 
 RESEARCH ASSOCIATE ROLE&nbsp;&nbsp;
 
 
 
 
 ABOUT MORE IN COMMON&nbsp;
 
 
 
 More&nbsp;in Common&rsquo;s mission is&nbsp;to understand the forces driving us apart, find common ground, and help bring Americans together to tackle our shared challenges. We work with leaders across fields and across the ideological spectrum&nbsp;to support effective problem-solving, strengthen democratic institutions, and better navigate the dynamics of a polarized society.&nbsp;More in Common US works alongside teams in other major democracies. Globally, More in Common is&nbsp;comprised&nbsp;of a team of more than&nbsp;70 people working in national offices in the US, UK, Germany, France, Poland, Spain, and Brazil.&nbsp;
 
 
 Our work is built on&nbsp;More in&nbsp;Common&rsquo;s unique audience and opinion research, grounded in social psychology. We promote a better understanding of Americans&rsquo; perspectives,&nbsp;providing&nbsp;fresh insights about not just what Americans think, but why. We find Americans&rsquo; views are more complex and varied than is often assumed, and while the most divisive are often the loudest, they rarely&nbsp;represent&nbsp;most Americans. Our work cuts through the &lsquo;perception gaps&rsquo;&mdash;the false impressions that Americans hold about each other&mdash;to highlight common ground,&nbsp;identify&nbsp;the areas of genuine difference, and reveal ways Americans can come together to tackle our shared challenges.&nbsp;
 
 
 Deploying our people-centered insights, we engage with hundreds of&nbsp;organizations and leaders across sectors&mdash;including community groups, government, media, business, philanthropy,&nbsp;corporations&nbsp;and faith communities&mdash;on a range of public issues.&nbsp;We partner with leaders and institutions to help them navigate the challenges of polarization, communicate in ways that reach new audiences,&nbsp;and execute strategies that bring Americans together across differences.&nbsp;&nbsp;
 
 
 In taking on the challenge of uniting a divided America, More in Common is grappling with a daunting problem that has many dimensions. We believe that we have a better chance at success if our team reflects a broad range of disciplines, social and cultural backgrounds, beliefs, political persuasions, and life experiences. For this reason, we strongly encourage people with backgrounds from across the political spectrum&nbsp;(including conservative, libertarian, centrist, liberal, progressive and Independents),&nbsp;those with disabilities as well as candidates from all genders,&nbsp;races, ages, religious, ethnic, socio-economic backgrounds&nbsp;and of all sexual orientations to apply for this role.&nbsp;
 
 
 For more information on More in Common, please&nbsp;visit&nbsp;our global&nbsp;website&nbsp;and&nbsp;U.S. website.&nbsp;
 
 
 
 
 
 DAY-TO-DAY AT MORE IN COMMON&nbsp;
 
 
 
 More in Common US is&nbsp;collaborative team of&nbsp;under 20 people working&nbsp;across the United States. We primarily work together virtually, but with several in-person opportunities to&nbsp;collaborate together&mdash;often in office space in NYC or DC.&nbsp;The pace is fast and the work is varied. Team members regularly wear many hats and move quickly across projects. We stay connected through Slack, weekly all-team and research team meetings, regular project-specific check-ins, and one-on-ones with supervisors. Most day-to-day work is US focused, though some projects involve collaboration with our international teams. We come together as a full team a&nbsp;couple&nbsp;times a year and regularly cross paths at conferences and in-person partner meetings. Our research portfolio spans three types of work: externally facing projects developed in partnership with mission-aligned organizations, internally generated research initiatives, and grant-funded projects we develop and pursue proactively.&nbsp;&nbsp;
 
 
 
 
 THE OPPORTUNITY&nbsp;
 
 
 
 More in Common is looking&nbsp;to hire&nbsp;a&nbsp;Research Associate.&nbsp;This is a full-time&nbsp;role.&nbsp;The focus for this&nbsp;role&nbsp;will be&nbsp;supporting&nbsp;More in Common&rsquo;s research&nbsp;on democracy, polarization, topical political events, and social cohesion.&nbsp;
 
 
 The role involves&nbsp;&nbsp;
 
 <ul>
 <li>
 
 Designing and programming quantitative and qualitative surveys&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Designing and&nbsp;facilitating&nbsp;focus groups and interviews&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Managing a&nbsp;qualitative&nbsp;online research panel of 300+&nbsp;Americans&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Conducting&nbsp;mixed-method&nbsp;analyses of&nbsp;survey&nbsp;and qualitative&nbsp;data, including longitudinal and cross-sectional analyses&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Conducting literature reviews&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Social media and social listening analysis&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Visualizing data&nbsp;(e.g., in R, PowerPoint, Flourish, Canva, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Regularly writing up research findings, including in&nbsp;memos and&nbsp;reports&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Crafting&nbsp;and conducting&nbsp;presentations of&nbsp;data&nbsp;insights&nbsp;for&nbsp;wider audiences&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Developing new project ideas&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Drafting concept notes and grant&nbsp;proposals&nbsp;to support new projects&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Designing and&nbsp;facilitating&nbsp;webinars and workshops to help practitioners integrate research insights into their program design and delivery&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Mentoring research interns&nbsp;
 
 </li>
 </ul>
 
 This role reports to&nbsp;one of&nbsp;our&nbsp;Research Managers.&nbsp;The&nbsp;Research Associate&nbsp;will work closely with other research&nbsp;and communications&nbsp;team members on&nbsp;our&nbsp;US team.&nbsp;&nbsp;
 
 
 This opportunity is flexible in terms of location, with a preference to be based in Washington D.C.&nbsp;(working in-person 3 days/week), and&nbsp;will include some U.S.&nbsp;travel.&nbsp;Remote work&nbsp;also&nbsp;will&nbsp;be considered.&nbsp;
 
 
 
 
 
 CANDIDATE PROFILE&nbsp;
 
 
 
 Throughout our journey as an organization, we know one thing for certain: our team is our greatest asset.&nbsp;&nbsp;
 
 
 We know that sometimes, qualified candidates do not apply for roles based on not meeting all of the criteria; if you are interested in our work and our mission, but unsure if you are the right fit, we encourage you to submit an application. As an organization, we look for great people before we look for specific qualifications and experience.&nbsp;&nbsp;
 
 
 To&nbsp;reflect&nbsp;this, the minimum qualification required to be considered is to have or soon-to-have a 4-year university degree.&nbsp;&nbsp;
 
 
 Our work encompasses many substantive areas and uses multiple methodologies, and we do not&nbsp;anticipate&nbsp;a Research Associate will be experienced in all these methodologies or expert in all substantive issue areas. That said, we list below a range of skills that would&nbsp;benefit&nbsp;our organization and contribute most to our work. If you have experience in one or more of these areas, please emphasize and explain this in your application materials.&nbsp;&nbsp;&nbsp;
 
 
 
 If the following describes you,&nbsp;we&rsquo;d&nbsp;love for&nbsp;you to apply.&nbsp;&nbsp;
 
 
 PERSONAL PASSION AND AMBITION FOR OUR MISSION&nbsp;&nbsp;
 
 
 We look for people who:&nbsp;
 
 <ul>
 <li>
 
 Demonstrate a commitment to understanding the forces driving us apart, finding common ground, and bringing people together to tackle shared challenges.&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Possess a deep curiosity about how other people think,&nbsp;a strong sense&nbsp;of respect for people whose views may be&nbsp;very different&nbsp;from your own, and an interest in&nbsp;utilizing&nbsp;the social psychology and political science insights underpinning More in Common&rsquo;s work.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Are passionate about elevating the voices of the &lsquo;exhausted majority&rsquo;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Have an ability and&nbsp;desire&nbsp;to work across the ideological spectrum&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hold&nbsp;a strong conviction that&nbsp;you personally can make a difference in making America a less divided nation, with the humility to understand how hard&nbsp;that&rsquo;s&nbsp;going to be.&nbsp;Big ideas&nbsp;and low ego!&nbsp;&nbsp;
 
 </li>
 </ul>
 
 
 
 MIXED METHODS&nbsp;RESEARCHER&nbsp;&nbsp;
 
 
 We look for people who&nbsp;have some&nbsp;combination of&nbsp;the following skills of a mixed methods social science researcher.&nbsp;&nbsp;
 
 <ul>
 <li>
 
 Are&nbsp;keenly interested in politics and public issues, but you are not deeply partisan. Instead, you enjoy the challenge of finding common ground among people with differing views and those who are disengaged.&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Enjoy getting into the details of data analysis and data presentation, to generate insights from public opinion research and make those insights compelling and engaging for others.&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 An appetite for and understanding of public opinion research and insights into how public attitudes change&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Can sift through both small and large quantitative and qualitative datasets to&nbsp;identify&nbsp;important trends and synthesize the findings.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comfort with navigating complex data sets (e.g., in Excel and R) and creating polished data visuals (e.g., in R, Flourish, Canva, PowerPoint, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience designing surveys and programming surveys (e.g., via tools like Qualtrics, Google Forms)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ability to conduct quantitative data analysis (e.g., in Excel, R, Python)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with social media analysis or social listening&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience conducting message testing research&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Can&nbsp;craft compelling and fresh data visuals&nbsp;that&nbsp;resonate with&nbsp;partners&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Can build stories and insights from&nbsp;quantitative&nbsp;and qualitative research, creating&nbsp;clear and compelling&nbsp;memos, presentation decks,&nbsp;and reports&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Know how to use AI tools to power your research analyses but also understand AI&rsquo;s limitations.&nbsp;
 
 </li>
 </ul>
 
 
 
 LEADERSHIP&nbsp;AND&nbsp;PARTNERSHIP SKILLS&nbsp;
 
 
 This role and this moment in the nation&rsquo;s history call for exceptional leadership&nbsp;and partnership&nbsp;skills. While we&nbsp;don&rsquo;t&nbsp;look for a fixed list of qualifications, the following will be especially valuable:&nbsp;
 
 <ul>
 <li>
 
 A broad range of interests and a record of impact&nbsp;in relevant areas such as&nbsp;democracy, elections,&nbsp;politics,&nbsp;social&nbsp;psychology,&nbsp;advocacy, campaigning, social history, polling,&nbsp;and/or&nbsp;academia&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 An exceptional ability to execute&nbsp;and achieve&nbsp;rigorous&nbsp;results in the face of strong headwinds&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 A predisposition for candor in moments when many might be scared to say what they think&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Outstanding verbal and written communication skills&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Have strong interpersonal skills and can&nbsp;represent&nbsp;More in Common well with its partners&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong&nbsp;attention to detail in&nbsp;communications&nbsp;with&nbsp;stakeholders&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Are passionate about helping inform, serve, and grow the nonprofit, nonpartisan democracy,&nbsp;and social cohesion fields&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with and a capacity to understand people from&nbsp;different backgrounds, to see the world from others&rsquo; perspectives and inspire trust among diverse audiences&nbsp;
 
 </li>
 </ul>
 
 
 
 JOINING MORE IN COMMON&nbsp;
 
 
 Each member of our team makes a vital contribution to our work, and we put a strong emphasis on character, culture, and values in hiring. We look for people who:&nbsp;
 
 <ul>
 <li>
 
 Are strategic, rigorous, restless, energetic, and creative&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Are able to&nbsp;think ahead and get big stuff done&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Are committed to a process of ongoing learning and experience of a &lsquo;test and learn&rsquo; approach&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Act with humility, generosity, and integrity towards others&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Are excited to work with heart as well as head&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Feel comfortable and excited to dwell on the edge but not on the margins&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Want to be part of an effort to turn despair into hope&nbsp;
 
 </li>
 </ul>
 
 Here are some&nbsp;additional&nbsp;things we look for:&nbsp;
 
 <ul>
 <li>
 
 An agile and entrepreneurial mindset&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 A drive to make a measurable difference to society and&nbsp;a track record&nbsp;to prove it&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Curiosity and creativity&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Demonstrable empathy and great listening skills&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong collaboration and field-building skills&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 The capacity to embrace complexity and find a way through it, taking others with you along the way&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Able to set priorities, meet goals, and evaluate both process and results&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Resilience under pressure&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 A strong familiarity with a diverse range of communities in the US&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Belief in the power of a good sense of humor&nbsp;
 
 </li>
 </ul>
 
 
 
 COMPENSATION AND BENEFITS&nbsp;
 
 
 The salary for this&nbsp;role is&nbsp;in the range of&nbsp;$63,000&nbsp;- $80,00&nbsp;annual&nbsp;rate, based on skills and experience.&nbsp;More in&nbsp;Common offers excellent benefits, including&nbsp;a&nbsp;generous leave policy, matching 401(k),&nbsp;and&nbsp;medical&nbsp;insurance.&nbsp;
 
 
 
 
 
 HOW TO APPLY&nbsp;
 
 
 
 
 APPLICATION STEPS&nbsp;
 
 
 
 Please&nbsp;submit:&nbsp;
 
 <ul>
 <li>
 
 A resume&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Brief response to the following questions:&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Why are you interested in this position at this moment in your education or career?&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 What makes you suited to contribute to More in Common&rsquo;s mission?&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 What is one recent trend,&nbsp;discourse,&nbsp;phenomenon,&nbsp;or moment in the U.S. that you think is misunderstood or overlooked? Why does it stand out to you?&nbsp;
 
 </li>
 </ul>
 
 TIMELINE&nbsp;
 
 <ul>
 <li>
 
 We will&nbsp;be reviewing applications on a rolling basis and&nbsp;accepting them&nbsp;through&nbsp;April 26, 2026.&nbsp;We plan to make final decisions&nbsp;in&nbsp;early to&nbsp;mid June.&nbsp;&nbsp;
 
 </li>
 </ul>
 
 Process&nbsp;
 
 <ul>
 <li>
 
 Submit Application&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 First Round Interview&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Second Round Interview&nbsp;&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Written Test&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Final Round Interview&nbsp;
 
 </li>
 </ul>
 
 
 
 
</div>

Research Associate

JPMorganChase

<div>JOB DESCRIPTION 
Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions.
Job summary:
As an Associate in the Quantitative Research (QR) team, you will deliver on data-driven solutions and complex challenges related to the management and reporting of liquidity, funding, and capital. You will lead the team in designing and implementing advanced models to assess risk, as well as developing tools to predict and explain P&amp;L. You will work closely with the Markets Treasury team as well as our technology partners.
This position offers exposure to large-scale data analytics, the application of AI, automation of reporting processes, and the creation of actionable insights for senior management and cross-functional teams. You will collaborate with stakeholders across markets and technology to drive innovative solutions. This role provides a unique opportunity to enhance treasury management practices and support strategic objectives in a fast-paced, evolving market environment.
Job Responsibilities:
<ul><li>Architect and oversee the design of advanced frameworks for complex data analytics ensuring scalability, security, and maintainability.</li><li>
Lead sophisticated data analysis initiatives, deriving insights from large and diverse financial datasets to inform strategic decision-making and drive business outcomes.</li><li>
Design, implement, and manage end-to-end analytics solutions and user tools, setting standards for best practices and maximizing value delivered to stakeholders</li><li>
Engage with leadership and business teams to proactively identify opportunities for optimizing financial resource allocation and quantify the impact of proposed initiatives.</li><li>
Establish and nurture partnerships with technology teams to drive the development and scaling of innovative analytical frameworks and optimization strategies, influencing the firm&rsquo;s technology roadmap.</li><li>
Lead the automation strategy by identifying and transforming complex manual processes into efficient, scalable digital platforms, fostering a culture of continuous improvement.</li><li>
Build and maintain strong relationships with global Quantitative Research (QR) teams, driving global collaboration.</li></ul>
Required qualifications, capabilities, and skills:
<ul><li>Experience within a quantitative role in finance</li><li>
Hold an advanced degree (Master&rsquo;s) or equivalent in a quantitative discipline such as Mathematics, Computer Science, Physics, or Engineering</li><li>
Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices.</li><li>
Exhibit exceptional quantitative and analytical problem-solving abilities</li><li>
Markets experience and a comprehensive understanding of trading concepts, strategies, and terminology</li><li>
Possess outstanding communication skills, adept at engaging and influencing senior stakeholders on complex technical topics and translating technical concepts into actionable business insights.</li><li>
Demonstrate ability to master new business domains and adapting to evolving business priorities, proactively identifying areas for strategic growth and improvement.</li><li>
Apply strategic and creative thinking to both challenges and opportunities, driving continuous innovation and fostering a culture of forward-thinking problem solving.</li><li>
Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams.</li></ul>
Preferred qualifications, capabilities, and skills:<ul><li>
Demonstrate deep expertise in derivatives pricing theory and financial regulations, with a history of applying this knowledge to drive strategic initiatives and influence firm-wide practices.</li><li>
Possess a comprehensive understanding of bank balance sheet management and extensive experience solving complex financial optimization problems, contributing to strategic decision-making and resource allocation.</li><li>
Champion rigorous testing and verification methodologies, ensuring the reliability, accuracy, and resilience of analytical solutions and systems across the organization.</li><li>
Demonstrate programming skills in java.</li></ul>
ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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 and Research – Markets Treasury – Associate

Two Sigma

<div>
 Position Summary
 
 
 Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
 
 
 Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world&rsquo;s most complex economic problems.
 
 
 When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you&rsquo;ll be doing work that matters to a lot of people, too. Our investors include some of the world&rsquo;s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we&rsquo;re proud to serve these organizations.
 
 
 
 You Will Take On The Following Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse and unique real-world datasets.
 </li>
 <li>
 Conduct literature reviews to develop and apply cutting-edge methodologies for extracting meaningful signals from our vast data holdings.
 </li>
 <li>
 Partner with our engineers and business stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 All the while, you&rsquo;ll remain engaged in the academic community. As examples, you can:
 </li>
 <li>
 Join our reading circles to stay up to date on the latest research papers in your fields
 </li>
 <li>
 Attend academic seminars to learn from thought leaders from top universities
 
 
 </li>
 </ul>
 
 You Should Possess The Following Qualifications
 
 
 
 <ul>
 <li>
 Degree in a technical or quantitative discipline, like chemistry, computer science, economics, statistics, or quantitative social science with an applied empirical focus (all levels welcome, from bachelor&rsquo;s to doctorate)
 </li>
 <li>
 Proficient in Python and SQL
 </li>
 <li>
 Performed an in-depth research project, examining real-world data
 </li>
 <li>
 Are an independent thinker who can creatively approach data analysis and communicate complex ideas clearly
 </li>
 <li>
 You don&rsquo;t need a background in finance. It&rsquo;s nice to have, but more than half of Two Sigma&rsquo;s employees come from outside the finance industry. If you&rsquo;ve got the research skills, we can teach you the financial aspects of the job.
 </li>
 <li>
 We are particularly enthusiastic about people who bring a quantitative and data-driven mindset to nontraditional and difficult-to-quantify problems.
 
 
 </li>
 </ul>
 
 You Will Enjoy The Following Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life &amp; disability insurance
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup
 
 
 </li>
 </ul>
 The base pay for this role will be between $165,000 (Bachelors), $170,000 (Masters), and $190,000 (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
 
 
 We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
 
 
 Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
 
 
 If you believe you need an accommodation, please visit our website for additional information.
</div>

Data Scientist - Campus Full-Time

Futures First

<div><div>Job Information
</div><div></div><div><div><div><div>Location
Hyderabad
</div></div></div><div></div><div><div><div>Post Date
26 March, 2026
</div></div></div><div></div><div><div><div>Date of Joining
Immediate
</div></div></div><div></div><div><div><div>Experience
2-3 Years</div></div></div></div></div><div></div>
 <div><div><h2 class="jobSectionHeader">Position Summary</h2>
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.
At Futures First we are committed to providing our employees the best in technology, infrastructure and training to enable them to succeed.<h2 class="jobSectionHeader">
Job Profile</h2>
As a Quantitative Engineer, you will leverage your technical and analytical skills to develop innovative technology solutions that support and enhance our market strategies.<h2 class="jobSectionHeader">
Job Responsibilities</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">
Requirements</h2><h3 class="jobSectionHeader">
Education Qualifications</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">
Skillset</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">
Work Experience:</h3>
Experience of at least 2-3 years in a full-stack development or quantitative role.
</div><div></div><div><div><h2 class="jobSectionHeader">Why Join Futures First?</h2>
Join Futures First for career growth, market exposure, continuous learning, and a collaborative, dynamic work environment.
<div>Read More</div></div></div></div><div></div>

Quantitative Engineer – Quant & Algo

<div>
 Position Summary
 
 
 Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
 
 
 Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world&rsquo;s most complex economic problems.
 
 
 When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you&rsquo;ll be doing work that matters to a lot of people, too. Our investors include some of the world&rsquo;s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we&rsquo;re proud to serve these organizations.
 
 
 
 You Will Take On The Following Responsibilities
 
 
 
 <ul>
 <li>
 Independently research and develop hypotheses based on diverse and unique real-world datasets.
 </li>
 <li>
 Conduct literature reviews to develop and apply cutting-edge methodologies for extracting meaningful signals from our vast data holdings.
 </li>
 <li>
 Partner with our engineers and business stakeholders to rigorously explore and test your theories.
 </li>
 <li>
 All the while, you&rsquo;ll remain engaged in the academic community. As examples, you can:
 </li>
 <li>
 Join our reading circles to stay up to date on the latest research papers in your fields
 </li>
 <li>
 Attend academic seminars to learn from thought leaders from top universities
 </li>
 <li>
 The internship program lasts 10 weeks in the summer and takes place at our Soho-based, New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which will culminate in a final presentation at the conclusion of the program.
 
 
 </li>
 </ul>
 
 You Should Possess The Following Qualifications
 
 
 
 <ul>
 <li>
 Are pursuing a degree in a technical or quantitative discipline, like chemistry, computer science, economics, statistics, or quantitative social science, with approximately one year remaining in your programs (all levels welcome, from bachelor&rsquo;s to doctorate)
 </li>
 <li>
 Proficient in Python and SQL
 </li>
 <li>
 Performed an in-depth research project, examining real-world data
 </li>
 <li>
 Are an independent thinker who can creatively approach data analysis and communicate complex ideas clearly
 </li>
 <li>
 You don&rsquo;t need a background in finance. It&rsquo;s nice to have, but more than half of Two Sigma&rsquo;s employees come from outside the finance industry. If you&rsquo;ve got the research skills, we can teach you the financial aspects of the job.
 
 
 </li>
 </ul>
 
 You Will Enjoy The Following Benefits
 
 
 
 <ul>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup
 
 
 </li>
 </ul>
 The weekly base pay for this role will be between $3,800/Week (Bachelors), $3,900/Week (Masters) and $4,200/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and/or benefits.
 
 
 We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
 
 
 Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
 
 
 If you believe you need an accommodation, please visit our website for additional information.
</div>

Data Scientist - Internship [Summer 2026]

Oula Private Limited

Job Overview:The individual is responsible for leading and managing research projects end-to-end &mdash; from proposal design and execution to analysis and presentation. The role involves converting complex data into meaningful insights, building strong client relationships, and ensuring the delivery of high-quality outputs that drive business decisions.Responsibilities and Duties1. Project Leadership &amp; Management<ul><li>Independently manage small to medium-scale research projects, ensuring delivery within agreed timelines, budgets, and quality standards.</li><li>Develop research proposals, sampling frameworks, and cost estimates in consultation with the Research Manager.</li><li>Design research instruments (questionnaires, discussion guides) aligned with client objectives.</li></ul>2. Data Analysis &amp; Insight Development<ul><li>Lead data processing, validation, and interpretation to extract meaningful insights.</li><li>Develop storylines and insight-based reports that highlight key findings and implications for clients.</li><li>Ensure analytical accuracy and strategic clarity in all deliverables.</li><li>Integrate multiple data sources (quantitative, qualitative, and secondary data) to create comprehensive business stories.</li></ul>3. Client Servicing &amp; Relationship Building<ul><li>Serve as a key point of contact for assigned clients, ensuring responsiveness and proactive communication.</li><li>Present research findings to clients and provide actionable recommendations.</li><li>Maintain client satisfaction through quality service and problem-solving approach.</li></ul>4. Collaboration &amp; Team Development<ul><li>Mentor and guide Research Executives or interns on project coordination and analysis tasks.</li><li>Collaborate with operations, analytics, and data visualization teams to ensure cohesive project delivery.</li><li>Support business development efforts by contributing to proposals and pitches.</li></ul>5. Qualifications &amp; Skills:<ul><li>Completed graduation &ndash; Degree in Business Administration, preferably but not limited to marketing.</li><li>Minimum 6 months to 1 year of work experience in the research industry.</li><li>Excellent Communication Skills.</li><li>Analytical ability with proven numeracy skills.</li><li>Computer literacy &ndash; proficiency in MS Office.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li></ul>Work Location: In person

Research Executive - Quantitative

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