equity research analyst

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $120,000&ndash;$300,000 + Competitive Equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.</p><p>
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.</p><p><b>
What you'll be doing</b></p><ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul><p><b>
Tech stack:</b> Python, AWS; browser automation, computer vision, LLM systems.</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $120,000&ndash;$300,000 + equity</li><li><b>
Visa sponsorship:</b> H-1B, O-1, OPT</li><li><b>
Experience:</b> 1+ years</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Member of Technical Staff

Wood Mackenzie

<div><p>Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.</p><p><br>
For over 50 years our work has guided the decisions of the world&rsquo;s most influential energy producers, utilities companies, financial institutions and governments.</p><p><br>
Now, with the world&rsquo;s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That&rsquo;s why we&rsquo;ve redefined what&rsquo;s possible with Intelligence Connected.<br>
</p><p><br>
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.</p><p><br>
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence &ndash; whether planning days, weeks, months or decades ahead.</p><p><br>
Wood Mackenzie<br>
Intelligence Connected</p><p></p><p><b><br>
WoodMac.com</b></p><p><b><br>
Wood Mackenzie Brand Video</b></p><p></p><p><b>
Wood Mackenzie Values</b></p><ul><li>
Inclusive &ndash; we succeed together</li><li>
Trusting &ndash; we choose to trust each other</li><li>
Customer committed &ndash; we put customers at the heart of our decisions</li><li>
Future Focused &ndash; we accelerate change</li><li>
Curious &ndash; we turn knowledge into action</li></ul><p></p><h2 class="jobSectionHeader"><b>
Job Description</b><b>
</b></h2><p></p><p>We are looking for a full-time Market Analyst, to join Wood Mackenzie&rsquo;s Power Trading Analytics (PTA) team. The team&rsquo;s research spans North American power market fundamentals and price forecasting to asset valuation and strategy that comprises some of the most highly utilized data, reports, and insights across Wood Mackenzie. Our broad industry knowledge and deep understanding of the North American power market are unparalleled and help our clients succeed during the energy transition. The Market Analyst will have a strong background in analytics and growing expertise within the power industry. About you and how you can excel in this role Wood Mackenzie&rsquo;s PTA team comprises industry experts who are detail-oriented, intellectually curious, commercially savvy, and comfortable presenting to clients. Your interest in fundamental power market research proves you hold these characteristics and are comfortable taking complex, disparate ideas and distilling them into simple, actionable analytics. About the role The Market Analyst will serve as the driving force in the delivery of industry-leading short-term power outlooks based on a blend of proprietary and public data.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Participate in and lead the daily operational tasks with the Market Associate/Analyst group</li><li>
Ensure high-quality forecasts and analytics are provided to customers from the entire team</li><li>
Operate models and support tools daily that include spatial, data visualization, and power flow applications to identify and solve problems in the power industry-specific to an ISO market.</li><li>
Responsible for understanding and communicating Current-day/Next-day operational and financial risk to Asset owners, traders, retailers, etc. transacting in the markets daily, to assist them in making asset optimization decisions.</li><li>
Provide insights and risks associated with longer-term congestion patterns, transmission upgrades, and outages through quarterly seasonal outlooks.</li><li>
Ownership of initiatives related to efficiencies and products outside of routine daily operational tasks</li><li>
Run regional support workbooks daily and continuously improve the level of granularity provided to the team and customer.</li><li>
Manipulate large datasets and determine correlations and relationships between potential market drivers, prices, and events.</li><li>
Improve current processes by automating critical tasks using macros (visual basic/Python)</li><li>
Present the team&rsquo;s ISO desk, lead, managers, and other decision-makers with research projects/presentations, memos, or reports on market-relevant topics as requested and advise on the effects of various courses of action relevant to specific problems.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Bachelor&rsquo;s degree in economics, finance, math, stats, or energy related discipline</li><li>
Previous experience in a power or trading vertical</li><li>
2+ years of business or professional work experience</li><li>
Ability to lead and train entry-level associates and analysts</li><li>
You are committed to contributing to a welcoming and inclusive environment, are sensitive to diverse perspectives, and are passionate about equity in the workplace.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice To Haves</b></h2><ul><li>
Preferably to have experience in using programming languages such as Python, Visual Basic, or comparable languages</li></ul><p></p><p>
The salary range for this position is $85,000- $100,000, which represents base pay only and does not include short-term incentive compensation or commission. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.</p><p></p><p><b><i>
This position does not provide visa sponsorship</i></b></p><p><b><br>
Equal Opportunities</b></p><p><br>
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov</p></div>

Market Analyst - Power Trading Analytics

The Steely Group

<div>
 <p>
  We are seeking a Commercial Insights &amp; Analytics / Operations Analyst who will be responsible for helping to evaluate product performance, data-driven actionable insight generation, and support Commercial Operations. This individual will possess a combination of strategic thinking and analytical expertise to help the company achieve its commercial goals. Key areas of focus include data analytics and reporting, claims analysis, forecasting, and competitive intelligence. This role will collaborate with multiple stakeholders to ensure a thorough understanding of business insight needs, data landscape, and how to leverage data to answer business questions efficiently and agilely.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is based in Boston, Massachusetts, and requires a presence onsite 3 days per week, and open to applicants authorized to work for any employer within the United States
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
  </strong>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Evaluate and report product performance
  </li>
  <li>
   Become a subject matter expert in company&rsquo;s products
  </li>
  <li>
   Identify and track key drivers of product performance, and proactively uncover risks and opportunities for the product
  </li>
  <li>
   Claims and other data analysis
  </li>
  <li>
   Help clean and integrate claims and other data sets
  </li>
  <li>
   Routinely generate data-driven insights
  </li>
  <li>
   Forecasting
  </li>
  <li>
   Help develop product / market models and scenario planning
  </li>
  <li>
   Triangulate and pressure-test assumptions with various data sources (primary research, competitive intelligence, analogs, etc.)
  </li>
  <li>
   Market intelligence
  </li>
  <li>
   Help in competitive analysis to assess market dynamics, product positioning and to monitor emerging threats
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Basic Qualifications:
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s degree required; advanced degree in data science preferred
 </p>
 <ul>
  <li>
   5+ years of experience in commercial analytics, data science, or related functions (insights, equity research, or commercial operations) required
  </li>
  <li>
   Strong proficiency in analytical tools, models, software, and data visualization platforms used to work with large and complex datasets (e.g., SQL, Python, Power BI)
  </li>
  <li>
   Able to execute complex advanced analytics projects, combining disparate data sour
  </li>
  <li>
   Demonstrated intellectual curiosity and critical thinking skills with an ability to troubleshoot and solve complex business operations challenges
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Analyst

Mayo Clinic

<div><div><b>Why Mayo Clinic</b></div><div><br>
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans &ndash; to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.</div><div><br>
</div><div><b>
Benefits Highlights</b><br>
<ul><li>
Medical: Multiple plan options.</li><li>
Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>
Vision: Affordable plan with national network.</li><li>
Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>
Retirement: Competitive retirement package to secure your future.</li></ul></div><br>
<b>
Responsibilities</b><p><br>
We are seeking a highly motivated researcher with experience in machine learning with Python to develop multimodal AI/ML models from healthcare conversations combined with other sources of data (e.g., scans and tabular data). The ideal candidate will have hands-on experience with textual (NLP), acoustic (speech), and visual data and the ability to integrate these modalities into state-of-the-art models for healthcare applications. The analyst assists with multidisciplinary research analysis using a variety of analytical, quantitative, qualitative, and programming skills. The analyst conducts comprehensive literature searches related to health services research initiatives and compiles and summarizes written and electronic data for research projects. Research funding sources and collects necessary documents for participating in external research collaborations. Writes draft reports that clearly and concisely summarize and illustrate projects findings, outcomes, and results. Drafts sections of grants, abstracts, and manuscripts. Collects and assists in designing data analysis strategies, evaluating data needs and methods of data collection. Implements the data collection protocol. Assists in reviewing study methods, statistical models, and sampling schemes. Trends data to identify potential areas of the investigation supported by graphical presentations. Evaluates the reliability of data sources to ensure data integrity. Coordinates multiple project assignments and is responsible for completing tasks in given timeline. Designs and maintains quantitative and qualitative databases including the management and updating of data.</p><p><b>
Model Development &amp; Optimization:</b></p><ul><li>
Build and deploy multimodal AI/ML models integrating textual, acoustic, and visual inputs from healthcare conversations and other sources of data (e.g., scans and tabular data)</li><li>
Implement, train, and fine-tune models in Python using packages such as PyTorch, Transformers, OpenCV, torchvision, and torchaudio.</li><li>
Apply prompting strategies, parallel computing, and GPU acceleration to optimize large-scale model training and inference.</li></ul><p><b>
Data Management &amp; Analysis:</b></p><ul><li>
Collect, preprocess, and manage complex quantitative and qualitative datasets while ensuring data integrity and reproducibility.</li><li>
Design and execute advanced data analysis strategies, including statistical modeling, sampling schemes, and evaluation of computational methods.</li></ul><p></p><p><b>
Research &amp; Writing:</b></p><ul><li>
Conduct literature reviews on AI in healthcare and health services research.</li><li>
Prepare clear and concise reports, visualizations, and presentations of project outcomes.</li><li>
Draft sections of grants, abstracts, and manuscripts related to AI/ML in healthcare.</li><li>
Identify external funding opportunities and contribute to multi-institutional research collaborations.</li></ul><p></p><p><b>
Project Coordination:</b></p><ul><li>
Manage multiple concurrent assignments, track milestones, and ensure timely project delivery.</li><li>
Maintain and update internal quantitative and qualitative databases</li></ul><br>
<b>
Qualifications</b><p><br>
Master&rsquo;s degree in Computer Science, Engineering, Data Science, Health Informatics, or related field, with substantive coursework in machine learning experience <i>preferred </i>(two years minimum) OR Bachelor&rsquo;s degree in the fields above with strong quantitative background and four years of experience (minimum) <i>required</i>. Research experience preferred. Experience with previous research projects with quantitative and/or qualitative focus. Competent to work independently in most phases of research analysis, requiring only general instructions and direction. Demonstrated proficiency in written communication and research methodology. Able to think logically and to systematically analyze alternative solutions in problem solving. Knowledgeable about a current health care delivery environment. Works with general supervision; develops procedures for performance of a variety of duties; performs complex duties within established guidelines.</p><p>
Technical Skills:</p><ul><li>
Strong programming skills in Python, with proficiency in PyTorch, Transformers, and scikit-learn.</li><li>
Experience in NLP, speech processing, and/or visual modeling evidenced through previous projects.</li><li>
Familiarity with GPU computing, distributed training, and prompting strategies ( for large language models.</li><li>
Familiarity with Bash scripting</li></ul><p>
Professional Skills:</p><ul><li>
Demonstrated ability to work independently and in multidisciplinary teams.</li><li>
Excellent written and verbal communication skills, with experience drafting research reports and manuscripts.</li><li>
Familiarity and interest with healthcare research and delivery contexts preferred.</li></ul><p></p><p>
Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.</p><b><br>
Exemption Status</b><br>
<br>
Nonexempt<br>
<br>
<b>Compensation Detail</b><br>
<br>
$35.45-$53.15/hr; Education, experience and tenure may be considered along with internal equity when job offers are extended.<br>
<br>
<b>Benefits Eligible</b><br>
<br>
No<br>
<br>
<b>Schedule</b><br>
<br>
Part Time<br>
<br>
<b>Hours/Pay Period</b><br>
<br>
Varied<br>
<br>
<b>Schedule Details</b><br>
<br>
Flexible hours/Up to 40 hours a week<br>
<br>
<b>Weekend Schedule</b><br>
<br>
N/A<br>
<br>
<b>International Assignment</b><br>
<br>
No<br>
<br>
<b>Site Description</b><br>
<div>
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</div><div><div><b><br>
Equal Opportunity</b></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the &quot;EOE is the Law&quot;. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.<br>
</div></div><br>
<br>
<b>Recruiter</b><br>
<br>
Stephanie Baird</div>

KER Unit - Health Services Analyst - Supplemental

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.</p><p>
If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google's technical infrastructure, then you should consider joining ODS as a Data Scientist.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.</li>
<li>Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google&rsquo;s data center infrastructure.</li>
<li>Drive analysis and modeling, drawing from multiple analytical methods and choose the right method and level of complexity appropriate for the business challenges.</li>
<li>Engage broadly to identify, prioritize, frame, and structure complex and ambiguous challenges, where data science projects or tools can have the biggest impact. Measure business outcomes driven from the analytical recommendations.</li>
<li>Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into actionable business recommendations supported by technical documentation and presentations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Operations

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We are actively looking for exceptionally talented individuals who are collaborative, confident and motivated to provide a first-class experience to clients within J.P. Morgan's U.S. Private Bank. If you have an entrepreneurial mindset and are looking to constantly challenge yourself, J.P. Morgan is the place for you. You will be working alongside a team of talented colleagues from other markets, businesses and functions to provide you with the opportunity to take your career to the next level.<br>
<br>
As a Program Banker Analyst in the U.S. Private Bank, you will work on an integrated team with our bankers, global investment specialists, capital advisors, and trust and estate experts to bring in new clients and to serve existing clients. As a top performing Analyst, you will have the opportunity to continue onto the next phase at the firm as an Associate at the end of the program. Promotional opportunities within J.P. Morgan are based on our business needs and the Analyst's performance. The two-year Analyst Program provides exposure to our multiple business areas within the Private Bank including but not limited to credit and lending, multi-asset class investments, wealth advisory and estate planning.
</p><p><b>Job Responsibilities</b></p><ul><li>
Help devise customized financial strategies for existing and prospective clients
</li><li>Prepare pitch books and meeting materials</li><li>
Collaborate with integrated team members to analyze balance sheets and understand a clients' investment objectives to produce customized recommendations that consider appropriate risk/return objectives</li><li>
Become an expert in a range of proprietary models to provide recommendations on tailored solutions</li><li>
Conduct research and analysis; assist with product development and prospecting efforts</li><li>
Research client inquiries and manage follow up communication and materials</li><li>
Work directly with clients as you continue to progress in your role</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Bachelor's degree with a minimum overall GPA of 3.2
</li><li>No more than two years of work experience following completion of undergraduate program</li>
Demonstrated aptitude for sales and client relationship management<br>
<li>
</li></ul><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Superior multi-tasking and organizational skills
</li><li>Excellent communication skills and poise giving presentations</li><li>
Genuine interest in financial markets and macro-level economic trends</li><li>
Ability to leverage both quantitative and qualitative resources to understand complex financial situations and present solutions</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' 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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

U.S. Private Bank - AWM Program Analyst

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership.</p>
<p>
We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works.</p>
<h2 class="jobSectionHeader"><b>
Key responsibilities</b></h2>
<ul>
<li><p>Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy</p>
</li>
<li><p>Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks</p>
</li>
<li><p>Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on</p>
</li>
<li><p>Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use</p>
</li>
<li><p>Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline</p>
</li>
<li><p>Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists</p>
</li>
<li><p>Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification</p>
</li>
<li><p>Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team</p>
</li>
<li><p>Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling</p>
</li>
<li><p>Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Minimum qualifications</b></h2>
<ul>
<li><p>Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of the Opportunity, pipeline, and forecasting domain</p>
</li>
<li><p>Experience designing and rolling out an Opportunity stage model, sales methodology, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption</p>
</li>
<li><p>Credibility with sales leaders: you've been in the forecast call, you understand pipeline coverage, conversion, slippage, and commit, and you can push back on a VP when there's a better answer</p>
</li>
<li><p>Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, page and Path design, forecasting setup) and specs that make the handoff to developers clean</p>
</li>
<li><p>Crisp communication across sellers, sales leadership, RevOps, and engineers, adjusting altitude for each</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Preferred qualifications</b></h2>
<ul>
<li><p>8+ years of experience in GTM/Revenue systems roles</p>
</li>
<li><p>Salesforce Administrator certification</p>
</li>
<li><p>Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification</p>
</li>
<li><p>Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, splits, overlays, territory) and turning those decisions into working system design</p>
</li>
<li><p>Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus</p>
</li>
</ul></div><div><div><div><div><p>The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$270,000 - $310,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Business System Analyst Lead, Opportunity Acceleration

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