quantitative analyst

Citi

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

AVP Quantitative Analyst – Flow Equity Derivatives

Mondrian Alpha

<div>
 
 A leading, global hedge fund, are looking to hire an additional risk analyst for its New York (Manhattan) office.
 
 
 
 
 
 At this high performing fund, risk is part of front office, sat with the traders, working markets focused / street facing remits. In addition to core risk management responsibilities, the risk team play an important role in idea generation &amp; decision making. As the risk team support highly complex, high volume multi-asset books, the work is analytical, technical (Python, SQL and R are used to a strong standard) and challenging.
 
 
 
 
 
 Global risk team members have previously moved internally into strategy specific risk manager roles, assistant portfolio manager positions, the trading and quant teams (+ the business promote movement between international offices). Typically, 2-3yrs of strong performance will guarantee that there will be a variety of progression options available to the individual.
 
 
 
 
 
 Candidates must have outstanding academics (ideally high GPA&rsquo;s, maths/science/engineering focused). Candidates should have 2-5rs experience in an IB / hedge fund / prop trading risk role that is technical / quantitative. Existing coding skills are preferred.
 
 
 
 
 
 The role is budgeted to pay up to a $300k year-one TC depending on level of experience and individual performance. Established risk professionals in the firm can earn a multiple of this number.
 
</div>

Risk Analyst (Front Office) - Hedge Fund - Up to $300k TC

CharterUP

<div>
 
 About CharterUP.
 
 CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events.
 
 
 Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale.
 
 
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change.
 </li>
 <li>
 Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there&rsquo;s no better time to join our dynamic, growth-stage organization.
 </li>
 <li>
 Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX.
 </li>
 <li>
 Funding and Stability: Our $60 million Series A funding was just the start&mdash;we&rsquo;re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability.
 
 
 </li>
 </ul>
 
 Title:
 
 Data Analyst
 
 
 
 Reports to:
 
 Head of Business Intelligence, Finance and Accounting
 
 
 
 Location:
 
 Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO.
 
 
 
 About The Role
 
 
 
 CharterUP is seeking an early career
 
 Data Analyst
 
 to join our Finance BI team, someone eager to tackle data challenges and assist in meeting the reporting and analytics needs of teams throughout the organization. This role&rsquo;s deliverables will have a high impact, with visibility to leadership.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports.
 </li>
 <li>
 Perform data analysis to identify trends, patterns, and insights that will guide business strategy and decision-making.
 </li>
 <li>
 Develop and maintain dashboards and reports to track key business metrics.
 </li>
 <li>
 Collaborate with cross-functional teams to support data-driven projects and initiatives.
 </li>
 <li>
 Conduct statistical analysis and model data to predict future trends and performance.
 </li>
 <li>
 Present findings, recommendations, and insights in a clear and concise manner to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Experience And Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s and Master's degrees. Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering
 </li>
 <li>
 1+ years industry experience as Data Analyst
 </li>
 <li>
 Proficiency in SQL, Python or equivalent
 </li>
 <li>
 Proficiency in Excel/Google Sheets
 </li>
 <li>
 Strong knowledge of data visualization tools like Tableau, Power BI, or similar platforms is a plus.
 </li>
 <li>
 Familiarity with any of the following is a plus: Redshift or Snowflake, dbt, Fivetran, Salesforce and tools like 6sense.
 </li>
 <li>
 Experience with data manipulation, cleaning, and transformation techniques.
 </li>
 <li>
 Strong communication skills with the ability to present data insights to diverse audiences.
 </li>
 <li>
 Ability to work independently and manage multiple tasks.
 
 
 </li>
 </ul>
 
 Recruiting Process
 
 
 
 <ul>
 <li>
 Step 1 - Wonderlic Assessment
 </li>
 <li>
 Step 2 - Video call: Talent Acquisition interview
 </li>
 <li>
 Step 3 - Video call: Interview with Head of BI - Finance
 </li>
 <li>
 Step 4 - Video call: Team interview
 </li>
 <li>
 Step 5 - Video call: Final Interview with CFO
 </li>
 <li>
 Step 6 - Offer &amp; Background check
 </li>
 <li>
 Welcome aboard!
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $70,000 - $75,000 base salary
 </li>
 <li>
 Comprehensive benefits package, including fully subsidized medical benefits for the employee
 </li>
 <li>
 401(k) plan
 
 
 </li>
 </ul>
 Salary: $70,000 USD - $75,000 USD
 
 
 Global Benefits &amp; Perks at CharterUP
 
 
 We believe great people can live anywhere&mdash;and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team.
 
 
 <ul>
 <li>
 Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.
 </li>
 <li>
 Comprehensive Health &amp; Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.
 </li>
 <li>
 Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.
 </li>
 <li>
 Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.
 </li>
 <li>
 Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.
 </li>
 <li>
 Referral Rewards: Earn bonuses for bringing top talent to the team.
 </li>
 <li>
 Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.
 </li>
 <li>
 Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.
 
 
 </li>
 </ul>
 
 
 CharterUP is an Equal Opportunity Employer.
 
 
 
 We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter.
 
 
 
 
 
 Hiring Locations:
 
 CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming.
 
 
 
 We hire in the U.S. and Canada and are actively expanding our global footprint.
</div>

Data Analyst

JPMorganChase

<div>
 
 Job Description
 
 
 
 We're seeking a highly motivated Associate or Vice President to join our Quantitative Trading &amp; Research (QTR) team in New York. The role blends quantitative development with close engagement with Trading and Risk to deliver impactful solutions.
 
 
 
 Position Summary
 
 
 
 As an Associate or Vice President on the Quantitative Trading &amp; Research team, you will partner closely with both XVA trading and Counterparty Credit risk. You will help in developing of quantitative models to enhance pricing and risk management.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop models/analytics for pricing and management of XVA, Margin and Counterparty Credit Risk, from research to product deployment.
 </li>
 <li>
 Partner with Trading and Risk to translate business needs into quantitative solutions, provide ongoing production support including incident triage and root-cause analysis.
 </li>
 <li>
 Own end-to-end delivery with Technology on implementation, testing and deployment.
 </li>
 <li>
 Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring.
 
 
 </li>
 </ul>
 
 Required Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative field (or Bachelor's with 2+ years relevant experience).
 </li>
 <li>
 Strong understanding of probability/statistics and derivatives pricing; demonstrated ability to develop new quantitative approaches.
 </li>
 <li>
 Strong programming in Python and/or C++;
 </li>
 <li>
 Clear communicator with strong ownership, problem-solving skills, and ability to thrive in a fast-paced, collaborative environment.
 
 
 </li>
 </ul>
 
 Preferred Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Agentic AI and data pipeline/processing experience a plus.
 </li>
 <li>
 Product development lifecycle experience a plus.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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.
 
 
 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.
 
 
 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' and employees' 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
 
 
 
 About The Team
 
 
 
 J.P. Morgan'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 - Portfolio - Associate

<div>JOB DESCRIPTION 
 
 
Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.
As a Quantitative Researcher in Wholesale Credit Risk Modeling team, , you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
Job Responsibilities
<ul><li>Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles
</li><li>Build credit loss models supporting the bank's Current Expected Credit Loss estimation
</li><li>Develop stress testing models supporting Comprehensive Capital Analysis and Review processes
</li><li>Create scorecard and modeling approaches to measure credit risk for Commercial Real Estate clients
</li><li>Assess model performance, limitations, and use appropriateness to identify and monitor model risk
</li><li>Design efficient numerical methods to support model estimation, calibration, and validation
</li><li>Implement high-performance computing solutions to improve model runtime and scalability
</li><li>Build reusable analytics software frameworks and integrate model outputs into downstream systems
</li><li>Analyze large, real-world datasets to derive insights that improve model accuracy and stability
</li><li>Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions
</li><li>Communicate methodology, results, and limitations clearly to model governance committees and regulators
</li></ul>Required Qualifications, Capabilities, and Skills
<ul><li>Master's degree or higher in a quantitative discipline (for example: mathematics, physics, statistics, economics, finance, or computer science)
</li><li>3 years of experience developing statistical and/or economic models in a financial services or risk context
</li><li>3 years of experience applying regression and multivariate statistical techniques to real-world datasets
</li><li>3 years of hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
</li><li>2 years of experience working with machine learning techniques in model development or analytics workflows
</li><li>Demonstrated experience working with large datasets and building repeatable data pipelines for modeling
</li><li>Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
</li><li>Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language
</li><li>Proven ability to collaborate across functions and translate business needs into quantitative solutions
</li><li>Strong attention to detail, with a disciplined approach to testing, documentation, and controls
</li><li>Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment
</li></ul>Preferred Qualifications, Capabilities, and Skills
<ul><li>Doctorate in a quantitative discipline (for example: mathematics, physics, statistics, economics or finance)
</li><li>Experience developing wholesale credit risk models for Basel, Comprehensive Capital Analysis and Review, or Current Expected Credit Losses exercises
</li><li>Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration
</li><li>Experience with Linux or Unix environments for research and production workflows
</li><li>Familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
</li><li>Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
</li><li>Knowledge of graph or network analytics for counterparty or contagion risk modeling
</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'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' and employees' 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'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>

Risk Management - Wholesale Quantitative Research, Associate

Point Digital Finance

<div><div><h3 class="jobSectionHeader">About Point</h3>

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we're scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We've earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.</div> 
Local or 100% Remote 


About the role

Point is transforming how we use data &mdash; from a team that reports what happened to one that explains why and recommends what to do next. As Lead Data Analyst, you'll be the most senior analyst on the team and the standard-bearer for that shift. You'll take our hardest, highest-stakes business questions and drive them from an ambiguous ask to a rigorous, trusted answer with a clear recommendation. Working closely with leaders across product, marketing, and operations, you'll own how our most important metrics are defined and set the bar for what great analysis looks like. This is a lead individual-contributor role with a potential direct report, helping build a function that's becoming a true analytical partner to the business &mdash; and the human judgment layer on top of a company increasingly able to self-serve with AI. 


Your responsibilities
<ul>
<li>Own the definition and integrity of core business metrics &mdash; bring an opinionated, well-reasoned point of view and drive alignment across stakeholders on a single source of truth.</li>
<li>Lead end-to-end deep-dive analyses on our highest-stakes questions &mdash; from framing the problem, through causal and statistical rigor, to a written recommendation the business can act on, including retrospective reads on whether past bets paid off.</li>
<li>Design and interpret experiments and causal analyses &mdash; separate correlation from causation, and quantify the tradeoffs and elasticities leaders need to prioritize with confidence.</li>
<li>Serve as an embedded analytical partner to senior product, marketing, and operations leaders &mdash; understand their goals, anticipate the questions, and proactively surface insights rather than just fielding requests.</li>
<li>Translate business logic into documented metric definitions and the semantic layer that powers self-serve analytics and AI-driven data access.</li>
<li>Set the analytical standard for the team &mdash; model rigorous, reproducible work and raise the bar through mentorship and example.</li></ul> 


About you
<ul>
<li>8+ years in analytics, data science, or a quantitative decision-science role, with a track record of analyses that changed business decisions &mdash; not just dashboards.</li>
<li>Deep SQL expertise and warehouse fluency (Snowflake and dbt a plus); comfortable navigating messy, imperfect data and reasoning rigorously about its reliability.</li>
<li>Strong statistical foundation &mdash; causal inference, experimentation, regression &mdash; and the judgment to know which method fits the question.</li>
<li>Exceptional at framing ambiguous problems and communicating findings crisply to senior, non-technical stakeholders; you form a point of view and defend it with evidence.</li>
<li>A track record of influencing decisions without formal authority, and a natural standard-setter who elevates the people around you.</li>
<li>Bonus: experience in fintech, lending, mortgage, or real estate; and hands-on experience with AI-assisted analytics (LLMs, semantic layers, self-serve tooling).</li></ul> 


Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):
<ul>
<li>Tier 1 | San Francisco Bay Area, New York, and Seattle | $180,500 - $199,500
</li><li>Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles &amp; Santa Barbara | $161,500 - $178,500</li>
<li>Tier 3 | All other US metro areas | $155,800 - $172,200</li>
</ul>
This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation. 


Location Requirement: This is a remote position. However, candidates must reside in one of Point's states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.<div><h3 class="jobSectionHeader"> 
Our benefits</h3>
<ul>
<li>Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
</li>
<li>Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays.
</li>
<li>Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ.
</li>
<li>Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2&ndash;3 days per week while receiving full base pay.
</li>
<li>Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.
</li>
<li>Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage.
</li>
<li>Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.</li></ul> 

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. 


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Lead Data Analyst

Intercontinental Exchange

<div>Overview:

Job Purpose
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data. 
Responsibilities<ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul> 
Knowledge and Experience<ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><div> 
New York Base Salary Range</div><div>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

Lead Data Scientist

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