associate researcher i - genetics (sebra lab)

associate researcher i-pathology molecular and cell based medicine

associate researcher i-pathology, molecular and cell based medicine

associate researcher ii - genetics (sebra lab)

data scientist

associate researcher i - genetics (sebra lab) Jobs in New York

associate researcher i-pathology molecular and cell based medicine Jobs in New York

associate researcher i-pathology, molecular and cell based medicine Jobs in New York

associate researcher ii - genetics (sebra lab) Jobs in New York

senior research scientist

Hungryroot

<div><p><b>About Us</b></p>
<p>
Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living&mdash;getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family.</p>
<p>
It's the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That's why we're building a future in which healthy living is both easy and enjoyable.</p>
<p>
Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat.</p>
<p><b>
About the role</b></p>
<p>
We're looking for a Senior Operations Research Engineer to be a part of our growing Data Science team. You'll be responsible for working directly on our core Machine Learning/Operations Research algorithms for: grocery personalization, recipe selection, supply chain forecasting, clustering and more. As a member of the team, you will be building models collaboratively with others, and implement them in experimentation and production settings. You will be analyzing results of experiments, and will deep dive into the results to understand their impact, as well as plan next iterations.</p>
<p>
This role will join Hungryroot's Data Science team and you'll report directly to our Director of Data Science. In this critical role you will work closely with our data scientists and operation research experts to tackle the core challenges at the company that will be crucial to the success of Hungryroot. If you want to help us change how people grocery shop and eat for the better, we'd love for you to apply!</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Building out Operations Research modeling for our box filling algorithms, inventory forecasting, supply chain optimization</li>
<li>Machine learning modeling for our core grocery personalization algorithms</li>
<li>Data analysis, discussion and interpretation of experiment results</li>
<li>Data analysis and interpretation of production data to inform future experiments and decisions</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP) Gurobi is our primary platform for linear optimization</li>
<li>Knowledge of Machine Learning algorithms and systems, with at least one application built and deployed to production</li>
<li>Strong programming skills in Python</li>
<li>Proficiency in data manipulation, analysis, and visualization.</li>
<li>Excellent problem-solving skills and the ability to translate business problems into mathematical models.</li>
<li>Demonstrated ability to work independently and collaboratively in a fast-paced environment.</li>
<li>Be able to discuss the pros and cons of various solutions to a problem.</li>
<li>Ability to explain complex technical concepts to non-technical stakeholders.</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Machine learning frameworks (e.g., scikit-learn, PyTorch)</li>
<li>Masters or PhD in Operations Research</li>
</ul>
<p><b>Perks &amp; Benefits</b></p>
<ul>
<li>Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!</li>
<li>Equity</li>
<li>Unlimited vacation policy</li>
<li>Universal paid parental leave</li>
<li>Monthly Hungryroot credit for delicious, healthy groceries</li>
<li>Comprehensive health, vision, dental, and life insurance</li>
<li>401k with Company Match</li>
<li>A work from home stipend to support your initial home-office setup</li>
</ul>
<p>Expected Salary Range</p>
<p>
$168,000-$210,000</p>
<p>
#LI-REMOTE</p>
<p>
The employer will not sponsor applicants for work visas.</p>
<p><i>
Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.</i></p></div>

Senior Operations Research Engineer

Neara

<div>
 Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
 <br/>
 <br/>
 We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
 <br/>
 <br/>
 By simulating extreme weather and structural stress at a network-wide scale, we empower the world&rsquo;s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
 <br/>
 <br/>
 Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
 <br/>
 <br/>
 <strong>
  Data Scientist
  <br/>
  <br/>
 </strong>
 As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms.
  </li>
  <li>
   Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure.
  </li>
  <li>
   Advise the company on what our data says and use that understanding to inform Neara&rsquo;s strategy.
  </li>
  <li>
   Conduct experiments and A/B tests to improve our modeling of the grid.
  </li>
  <li>
   QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage.
  </li>
  <li>
   Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS.
  </li>
  <li>
   Mentor others in best practices for model training, data analytics, and building data-driven products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A data scientist, ML scientist, data engineer, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus.
  </li>
  <li>
   You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders.
  </li>
  <li>
   Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling.
  </li>
  <li>
   Experience translating your models into both experiments and deployable software.
  </li>
  <li>
   Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB.
  </li>
  <li>
   Comfort working in an AWS cloud environment.
  </li>
  <li>
   Excellent problem-solving skills as applied to new domains.
  </li>
  <li>
   Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems.
  </li>
  <li>
   Ability to own problems and proactively approach challenges.
  </li>
  <li>
   Prior experience in the energy industry is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory.
  </li>
  <li>
   Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid.
  </li>
  <li>
   You won't just build models; you&rsquo;ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world&rsquo;s largest utilities invest.
  </li>
  <li>
   We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company&rsquo;s rapid global scale.
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $160K - $190K
</div>


Data Scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.</p>
<p></p><p>As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities.
</p><p></p><p><b>Job Responsibilities:</b>
</p><ul><li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.
</li><li>Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
</li><li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
</li><li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills:</b>
</p><ul><li>Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
</li><li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
</li><li>Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
</li><li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
</li><li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
</li><li>Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
</li></ul><p></p><p><b>Preferred Qualifications, capabilities and skills</b>
</p><ul><li>Experience in the financial services industry, particularly within investment banking operations.
</li><li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
</li><li>Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
</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'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>

Applied AI/ML Senior Associate

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.<br>
<br>
As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.<br>
<br>
Key job responsibilities<br>
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems<br>
Disambiguate problems to propose clear evaluation frameworks and success criteria<br>
Work autonomously and write high quality technical documents<br>
Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production<br>
Partner closely with other scientists to deliver large, multi-faceted technical projects<br>
Share and publish works with the broader scientific community through meetings and conferences<br>
Communicate clearly to both technical and non-technical audiences<br>
Contribute new ideas that shape the direction of the team's work<br>
Mentor more junior scientists and participate in the hiring process<br>
<br>
About the team<br>
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually</div><p></p>

Applied Scientist, Ads Measurement Science

Bank of America

<div><p><b>Job Description:</b></p><p></p><p>
The Director will be a senior member of the Software Equity Research team, responsible for helping drive the research franchise through differentiated investment insights, industry expertise, client engagement, and thought leadership. Experience in sell side research, buy side investing, investment banking, consulting, or relevant industry roles is required. The ideal candidate will possess a strong understanding of financial statements, valuation methodologies, capital markets, and software industry dynamics, along with a passion for investing and the stock market.</p><p></p><p>
The Director will work closely with Senior Analysts while taking a leadership role in the research process, contributing to investment recommendations, developing client relationships, mentoring junior team members, and helping expand the firm&rsquo;s research franchise. Responsibilities include, but are not limited to:</p><p><b>
Responsibilities</b></p><ul><li>
Lead the development of differentiated investment ideas and actionable research for institutional investor clients</li><li>
Author industry reports, thematic research, earnings analyses, and company initiation reports</li><li>
Build, maintain, and enhance detailed financial models, including income statements, balance sheets, cash flow statements, and valuation frameworks</li><li>
Develop deep expertise in cybersecurity and identify emerging industry trends, competitive dynamics, and secular growth opportunities</li><li>
Establish and maintain relationships with executives, investor relations teams, industry experts, channel partners, and other key industry contacts</li><li>
Generate proprietary research through surveys, channel checks, interviews, field work, and alternative data sources</li><li>
Communicate investment views effectively through written research, client meetings, conferences, roadshows, and conference calls</li><li>
Serve as a trusted resource for institutional investors, sales professionals, and trading teams</li><li>
Monitor company, industry, and macroeconomic developments, providing timely analysis of stock impacting events</li><li>
Help shape the strategic direction of coverage and research priorities within the software sector</li><li>
Mentor and develop associates and junior analysts, helping elevate the team&rsquo;s analytical capabilities and research output</li><li>
Represent the research franchise at industry events, management meetings, and investor conferences</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree required; MBA, CFA, advanced degree, or relevant industry experience is a plus</li><li>
Significant experience in equity research, buy side investing, investment banking, consulting, corporate finance, or the software industry</li><li>
Strong financial modeling, valuation, and accounting expertise</li><li>
Demonstrated ability to generate differentiated investment insights and communicate complex ideas clearly</li><li>
Excellent writing, presentation, and verbal communication skills</li><li>
Strong client facing capabilities and relationship management skills.</li><li>
Self motivated, intellectually curious, and passionate about financial markets</li><li>
Experience mentoring and developing junior professionals is preferred</li></ul><p></p><p><b>
Shift:</b></p>
1st shift (United States of America)<p></p><p><b>
Hours Per Week:</b></p>
40</div><p></p>

Director, Software/Cybersecurity Equity Research

Fitch Ratings

<p></p><div><div><div><div><div><b>Requisition ID: </b>50101
</div></div></div></div><div><div><div><div><b>Business Unit: </b>Fitch Ratings
</div></div></div></div><div><div><div><div><b>Category: </b>Business Development &amp; Sales
</div></div></div></div><div><div><div><div><b>Location:
</b>New York, NY, US
</div></div></div></div><div><div><div><div><b>Date Posted: </b>Jun 3, 2026
</div></div></div></div><div></div><div><div><div><div><p><b>Fitch Ratings is currently seeking a Senior Market Research Associate role within the U.S. Structured Credit Business Relationship Management (BRM) group based out of our New York office.</b></p><br>
<p></p>
<p>
As one of the world&rsquo;s top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing supplementary credit analysis, ratings, research, and commentary to financial market participants. For over 100 years, Fitch Ratings has been creating value for global markets through its rigorous analysis and deep expertise, which have resulted in a variety of market leading tools, methodologies, indices, research, and analytical products. Fitch Ratings is part of Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York, Fitch Group is owned by Hearst.</p><p><br>
With a legacy of over a century, our unique approach to credit ratings offers unmatched opportunities for professional growth. Embracing a &ldquo;challenger mindset,&rdquo; you'll join a team dedicated to innovating service to our clients. Our people-driven analysis thrives on collaboration across all levels and locations, surpassing traditional financial modeling. Lastly, as part of our global community, you'll find inspiration, challenge, and support, with ample opportunities for visibility and influence in the global financial marketplace.</p><br>
<p></p>
<p>
The candidate will be a key member of the team. This role will suit someone who is seeking to develop a career in a front-line relationship management/marketing role.</p><br>
<p></p>
<p><b>
What We Offer:</b></p>
<ul>
<li>Many client-facing opportunities</li>
<li>Small but amazing team</li>
<li>Exposure to many facets of the CLO business</li>
<li>Dedication to teamwork</li><br>
</ul>
<p><b>How You&rsquo;ll Make an Impact:</b></p>
<ul>
<li>The candidate will support the senior members of the US Structured Credit BRM Team in managing and developing Fitch&rsquo;s relationships both internally and externally. This role will have the additional responsibility of supporting CLO investor outreach efforts.</li>
<li>The role requires the candidate to prepare and create opportunities and generate agreements from Salesforce. The ability to create and export reports from Salesforce as well as maintain marketing distribution lists.</li>
<li>The candidate will be responsible for research, development, and preparation of marketing materials under guidance from senior members of the team. Individual must be self-sufficient and adept at putting together PowerPoint presentations and working with Excel spreadsheets.</li>
<li>The candidate will be responsible for recording, maintaining and interpreting all CLO market share data.</li>
<li>The candidate will be responsible for monitoring Fitch CLO research publications, producing timely marketing distribution content and providing data to the team on viewership.</li></ul><br>
<p></p>
<p><b>
You May be a Good Fit if:</b></p>
<ul>
<li>Bachelor&rsquo;s degree required, preferably with a degree in business, finance or economics</li>
<li>Self-starter who can understand objectives, work independently and is highly motived.</li>
<li>Ability to analyze and evaluate data demonstrated through marketing materials</li>
<li>Great PowerPoint skills and excel skills.</li>
<li>Strong written and verbal communication skills.</li>
<li>Team oriented, with an ability to effectively build relationships both externally and internally.</li>
<li>High level of focus on work quality and attention to detail.</li></ul><br>
<p></p>
<p><b>
What Would Make You Stand Out:</b></p>
<ul>
<li>Resourceful</li>
<li>Organized</li>
<li>Positive</li></ul><br>
<p></p>
<div><b>
Why Choose Fitch:</b></div>
<ul>
<li><b>Hybrid Work Environment:</b> 3 days a week in office required
</li><li><b>A Culture of Learning &amp; Mobility: </b>Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity</li>
<li><b>Investing in Your Future:</b> Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals</li>
<li><b>Promoting Health &amp; Wellbeing:</b> Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing</li>
<li><b>Supportive Parenting Policies: </b>Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively</li>
<li><b>Inclusive Work Environment</b>: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe</li>
<li><b>Dedication to Giving Back:</b> Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community</li></ul><br>
<p></p>
<p>
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch&rsquo;s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.</p><br>
<p>
</p><p>Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate<b> </b>qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.</p><br>
<p></p>
<p><b>
FOR NEW YORK ROLES ONLY:</b> Expected base pay rates for the role will be between $85,000 and $100,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch&rsquo;s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.</p><br>
<p></p>
<p>
#LI-SC2 #LI-HYBRID</p></div></div></div></div></div><p></p>

Business Relationship Management - U.S. Structured Credit, Senior Market Research Associate

Ventas, Inc.

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
 <br/>
 <br/>
 The Investments team identifies and executes high-quality opportunities that expand and strengthen the Ventas portfolio. The team combines financial insight and market intelligence to guide acquisition, disposition, and partnership decisions. This function fuels growth and helps position Ventas as a leader in the longevity economy.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Financial Analyst, Investments is a key contributor within the Ventas Investments group, supporting the underwriting, due diligence, approval, and closing of healthcare real estate transactions focused on senior housing. This lean, high‑performing deal team evaluates opportunities ranging from single‑asset investments to multi‑billion‑dollar portfolio transactions across senior housing, outpatient medical, life sciences, and other healthcare verticals. The Financial Analyst will work directly with investments team leadership, senior management and cross‑functional partners in a fast‑paced, analytical, and deadline‑driven environment. The successful candidates will be joining a very active investments platform, with Ventas having completed &gt; $4 billion in new investments since 4Q24. Key responsibilities include:
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   Build and maintain financial models to support acquisitions, joint ventures, developments, redevelopments, and debt investments.
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   Lead valuation analyses and sensitization of key transaction assumptions and risk drivers.
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   Assist in designing and structuring asset, portfolio, and entity-level transactions of varying complexity that achieve investment criteria and satisfy counterparty need
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   Conduct detailed due diligence, including operator/tenant financial assessments, market analyses, and site visits.
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   Synthesize findings and present underwriting conclusions to senior leadership.
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   Partner with brokers, sellers, and investment bankers to refine assumptions and validate transaction data.
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   Support Corporate Finance to ensure accurate integration of transaction economics into Ventas&rsquo;s financial projections.
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   Prepare materials for executive approval, investment committee review, and closing processes.
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   Collaborate with Asset Management to support a smooth integration of acquired assets post‑closing.
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  Qualifications
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   Bachelor&rsquo;s degree in Finance, Economics, or a related analytical field.
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   1+ years of experience in financial analysis, commercial real estate, investment banking, private equity, corporate finance, or related analytical disciplines.
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   Must be located in the Chicago, IL or New York, NY surrounding area or willing to relocate for the duration of employment.
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   Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
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   Strong proficiency in Microsoft Excel and PowerPoint; experience with Argus, SQL, or financial modeling tools is a plus.
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   Strong quantitative, communication, and problem‑solving skills.
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   High sense of urgency, adaptability, and ability to manage multiple competing priorities.
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   Must be legally authorized to work in the United States without need for employer sponsorship now or in the future
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  The estimated base salary range for this position is $100,000 &ndash; $130,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
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  In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
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 Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
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 Ventas, Inc. is an Equal Opportunity Employer.
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 Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
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Financial Analyst, Investments

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