artificial intelligence engineer

Abridge

<div>
 
 About Abridge
 
 
 
 Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most&mdash;their patients.
 
 
 Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.
 
 
 We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
 
 
 
 The Role
 
 
 
 We are looking for
 
 GenAI Software Engineers
 
 of all levels who are passionate about making a positive impact. You&rsquo;ll collaborate closely with a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable, real-world clinical systems. Your focus will be on designing advanced LLM-driven workflows that can reason through complex clinical contexts, leverage agentic capabilities and structured tool use, navigate branching chains of LLM calls, integrate seamlessly with retrieval systems, and consistently generate outputs that meet the highest standards of clinical reliability and trust.
 
 
 A major part of this role will involve developing and applying rigorous evaluation frameworks (both automated and human-in-the-loop) to continuously assess accuracy, robustness, multilingual capabilities, and more. This is an opportunity to design experiments to probe failure modes, simulate edge cases, and stress-test LLM workflows under realistic load and challenging real-world conditions. You&rsquo;ll apply a disciplined, data-driven approach to understanding model behavior&mdash;developing tools to measure system performance, conduct A/B tests against established baselines, and generate clear, actionable insights that inform deployment decisions. This high-impact role will own the end-to-end productionization of LLM workflows: deploying models into low-latency, high-uptime environments, building monitoring and observability systems, implementing post-processing guardrails, and managing workflow versioning.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design and build agentic systems that turn LLMs into composable, dependable tools&mdash;leveraging retrieval, tool use, agentic reasoning, and structured outputs.
 </li>
 <li>
 Collaborate with ML and infra engineers to scale and optimize agentic workflows, managing latency, context windows, and model choice.
 </li>
 <li>
 Write high-quality, modular code that&rsquo;s graceful under failure, flexible to change, and easy to iterate on.
 </li>
 <li>
 Own major architectural decisions&mdash;how we architect workflows, define data flow, cache intermediate state, and structure generative outputs.
 </li>
 <li>
 Drive rigorous evaluation: build benchmark datasets, develop automated and human-in-the-loop frameworks, design experiments to surface failure modes and edge cases, run A/B tests to inform deployment, and distill insights from clinician feedback to evaluate and guide model improvement.
 </li>
 <li>
 Leverage frontier capabilities: rapidly prototype with new models and model capabilities, open-source tools, and novel prompting techniques.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 3+ years of experience building production-grade systems, with 1&ndash;2+ years focused on LLM-powered or agentic products.
 </li>
 <li>
 Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines).
 </li>
 <li>
 Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool-use, or agentic workflows.
 </li>
 <li>
 Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement.
 </li>
 <li>
 Strong Python fundamentals&mdash;including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred.
 </li>
 <li>
 Good taste and intuition: You know when to move fast, ship, and iterate and also when to take a beat to tackle tech debt.
 
 
 </li>
 </ul>
 We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you&rsquo;re interested in the role but aren&rsquo;t sure whether or not you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
 
 
 
 Must be willing to work from our SF or NYC office at least 3x per week.
 
 
 
 This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.
 
 
 
 Why Work at Abridge?
 
 
 
 At Abridge, we&rsquo;re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We&rsquo;re driving real, lasting change, with millions of medical conversations processed each month.
 
 
 Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership&mdash;every employee has the ability to (and is expected to) make an impact on our customers and our business.
 
 
 Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it&rsquo;s not just what we do&mdash;it&rsquo;s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.
 
 
 We&rsquo;re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.
 
 
 If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.
 
 
 
 How we take care of Abridgers:
 
 
 
 <ul>
 <li>
 Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
 </li>
 <li>
 Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
 </li>
 <li>
 Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
 </li>
 <li>
 Paid Parental Leave: Generous paid parental leave for all full-time employees.
 </li>
 <li>
 Family Forming Benefits: Resources and financial support to help you build your family.
 </li>
 <li>
 401(k) Matching: Contribution matching to help invest in your future.
 </li>
 <li>
 Personal Device Allowance: Tax free funds for personal device usage.
 </li>
 <li>
 Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
 </li>
 <li>
 Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
 </li>
 <li>
 Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
 </li>
 <li>
 Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
 </li>
 <li>
 Compensation and Equity: Competitive compensation and equity grants for full time employees.
 </li>
 <li>
 ... and much more!
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
 
 
 We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying, interviewing, completing any assessment or otherwise participating in the employee selection process, please contact us at accommodations@abridge.com
 
 
 
 Staying safe - Protect yourself from recruitment fraud
 
 
 
 We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
 
 
 Compensation Range: $255K - $300K
 
 
</div>

Software Engineer, GenAI

Tessera Labs

<div>
 About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise &mdash; with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.
 
 
 
 Job Summary
 
 
 
 We are looking for a Frontend Engineer who thrives in a fast-paced, high-ownership startup environment. This is a hands-on role for a self-starter who can take ownership of the user experience from concept to deployment, iterate quickly based on feedback, and optimize for speed, usability, and performance. You will design and build sophisticated UI components, interactive dashboards, and data visualizations that directly impact end users.
 
 
 If you love solving challenging UI problems, shipping polished interfaces at startup speed, and working in a collaborative, low-ego environment, this role is for you.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Rapid Feature Development &amp; Deployment
 </li>
 <li>
 Build sophisticated data visualization interfaces, workflow management UIs, and real-time dashboards.
 </li>
 <li>
 Design and maintain scalable component libraries with consistent design patterns.
 </li>
 <li>
 Implement complex client-side state with optimistic updates and real-time synchronization.
 </li>
 <li>
 Create intuitive UIs for AI model interactions, data pipeline management, and enterprise system integrations.
 </li>
 <li>
 Optimize for speed, usability, and performance without compromising quality.
 </li>
 <li>
 Performance Optimization &amp; Scalability
 </li>
 <li>
 Continuously identify and fix performance bottlenecks in frontend systems.
 </li>
 <li>
 Startup Mindset: Autonomy &amp; Execution Speed
 </li>
 <li>
 Take initiative&mdash;identify problems and build solutions without waiting for direction.
 </li>
 <li>
 Make trade-offs between speed and long-term maintainability based on business needs.
 </li>
 <li>
 Work in a high-ownership environment, making architectural and UI design decisions as needed.
 </li>
 <li>
 Quickly adapt to changing priorities, tight deadlines, and startup pivots.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of Frontend development with advanced patterns (custom hooks, complex state management, performance optimization, client/server-side separation).
 </li>
 <li>
 Expertise in TypeScript (complex generics, utility types, strict typing in production applications).
 </li>
 <li>
 Strong experience with the modern React ecosystem (SSR -- TanStack Start, NextJS, data fetching and global state management libraries).
 </li>
 <li>
 Proven track record in enterprise UI development (component libraries, design systems, accessibility standards).
 </li>
 <li>
 Performance optimization skills (memoization strategies, render optimization, virtualization).
 </li>
 <li>
 Strong problem-solving skills and ability to execute quickly with minimal guidance.
 </li>
 <li>
 Experience working in agile, fast-paced startup teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data visualization (charts, graphs, interactive dashboards).
 </li>
 <li>
 Real-time UI patterns (WebSocket integration, live updates, optimistic UI).
 </li>
 <li>
 Enterprise authentication (SSO, role-based access control, session management).
 </li>
 <li>
 Experience integrating AI/ML models into production applications.
 </li>
 <li>
 Familiarity with building developer-facing tools (code editor integrations, syntax highlighting, diff viewers).
 
 
 </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
</div>

Software Engineer, Frontend

Lead, Product Content Engineering

Aisles and Abroad

<div>
 
 Position Overview
 
 
 We are currently seeking a dependable and detail-oriented
 
 Booking Coordinator
 
 to support scheduling and reservation coordination. This role focuses on assisting with booking requests, organizing details, and ensuring all arrangements are handled accurately and efficiently.
 
 
 This is a fully remote position ideal for individuals who are organized, responsive, and enjoy working in a structured, client-focused environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Assist with coordinating bookings, reservations, and scheduling requests
 </li>
 <li>
 Gather and organize client information and preferences
 </li>
 <li>
 Review reservation details to ensure accuracy and completeness
 </li>
 <li>
 Communicate confirmations, updates, and follow-ups in a timely manner
 </li>
 <li>
 Maintain organized records of bookings and client interactions
 </li>
 <li>
 Support a smooth and efficient coordination process from start to finish
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong organizational and multitasking skills
 </li>
 <li>
 Clear and professional communication abilities
 </li>
 <li>
 Ability to work independently in a remote environment
 </li>
 <li>
 Detail-oriented with strong follow-through
 </li>
 <li>
 Comfortable using email, online systems, and scheduling tools
 
 
 
 
 </li>
 </ul>
 
 Preferred (Not Required)
 
 
 
 <ul>
 <li>
 Experience in customer service, administrative support, or coordination roles
 </li>
 <li>
 Interest in travel, hospitality, or event-related services
 
 
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible remote work environment
 </li>
 <li>
 Structured onboarding and ongoing guidance
 </li>
 <li>
 Opportunities for growth based on performance
 </li>
 <li>
 Supportive and collaborative team setting
 
 
 
 
 </li>
 </ul>
 
 Work Environment
 
 
 This is a remote role requiring a reliable internet connection and the ability to stay organized and productive in a virtual workspace.
 
 
 
 Apply Today
 
 
 If you enjoy coordinating details, assisting with reservations, and working in a flexible remote environment, we encourage you to apply.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Remote | Booking Coordinator | Training Provided

GALAXY

<div><div>Who We Are: 
Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world &ndash; and we're building the products and services to make that future a reality. 
 
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. 
 
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. 
 
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. 
 
To learn more about our businesses and products, visit www.galaxy.com.

What We Value:

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
<ul>
<li>Seek Excellence.</li>
<li>Be Selective To Be Effective.</li>
<li>Be Highly Aligned, Loosely Coupled.</li>
<li>Disagree Transparently.</li>
<li>Encourage Independent Decision-Making.</li>
<li>Build Dream Teams.</li>
</ul></div>
Who You Are:

Working as part of the FP&amp;A team, you will be on the frontlines of maintaining and developing data pipelines, financial models and automated reporting covering our various business units &ndash; with a focus on trading and protocol services. Deliveries will directly feed management reporting whose audience includes individual traders/teams and company executives.

A candidate should have experience developing Python/SQL-based solutions, and a detailed working knowledge of core data engineering concepts (relational and non-relational data structures, ETL processes, unit/integration testing).

You should be able to conceptualize the &quot;big picture&quot; and translate concepts into detailed tactical execution plans while maintaining a high degree of accuracy. This person should be comfortable working in a fast-paced environment and have the ability and &quot;grit&quot; necessary to manage multiple high priority tasks.

What You'll Do:
<ul>
<li>Architect and own the FP&amp;A insights data warehouse, establishing the single source of truth for firmwide management reporting, PnL analytics, budgeting, KPI tracking, and other strategic business intelligence.</li>
<li>Leverage Python and SQL to build and evolve complex PnL attribution and KPI generation models to drive management reporting across multiple reporting cadences (daily, weekly, quarterly).</li>
<li>Implement automated reconciliation frameworks ensuring data integrity across FP&amp;A reporting systems, reducing manual processes and operational risk.</li>
<li>Manage cross-functional initiatives partnering with Technology teams to modernize legacy FP&amp;A Excel and Python models, defining technical requirements and architectural standards.</li>
<li>Integrate best practices in data governance, version control, and testing across all FP&amp;A technical development workflows.</li>
<li>Provide easily accessible data for wider team, to support ad-hoc analyses for the business and CFO's organization.</li>
<li>Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.</li>
<li>Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.</li>
</ul>
What We're Looking For:
<ul>
<li>6+ years of progressive data engineering experience with deep expertise in Python and SQL</li>
<li>We are open to hiring either a VP or Director for this position
<ul><li>VP: base salary range $175,000-$200,000, discretionary annual bonus on top</li>
<li>Dir: base salary range $225,000-$250,000, discretionary annual bonus on top</li>
</ul></li><li>Familiarity of various asset classes (FX, futures, options, etc.) and how to model their economic impact on a firm (PnL and capital).</li>
<li>Strong analytical skills and experience working with large, unstructured datasets including data pipeline development to support insight generation</li>
<li>Intellectually curious self-starter, comfortable in ambiguity and a fast-paced environment</li>
<li>Highly detailed oriented with excellent communication skills</li>
</ul>
Bonus Points:
<ul>
<li>Experience with Databricks / Spark / Docker</li>
<li>An understanding of data visualization tools &ndash; PowerBI, Tableau, etc.</li>
<li>Knowledge of cryptocurrency</li>
<li>Experience working at a high growth startup / tech company a plus</li>
</ul>
What We Offer:
<ul>
<li>Competitive base salary and discretionary bonus</li>
<li>Flexible Time Off (i.e. unlimited paid vacation days)</li>
<li>Company paid Holidays (11)</li>
<li>Company paid sick leave</li>
<li>Company-paid health and protective benefits for employees, partners, and other dependents</li>
<li>3% 401(k) company contribution</li>
<li><div><div><div><div><div><div><div>Competitive family planning benefits for US employees</div>
</div></div></div></div></div></div></li><li>Generous paid Parental Leave</li>
<li>Free virtual coaching and counseling sessions through Headspace</li>
<li>Opportunities to learn about the Crypto industry</li>
<li>Free daily snacks in-office</li>
<li>Smart, entrepreneurial, and fun colleagues</li>
<li>Employee Resource Groups</li>
</ul>
Benefits may vary depending on location.

Apply now and join us on our mission to engineer a new economic paradigm.<div>
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.</div></div>

FP&A Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Employer: Amazon Advertising LLC 
Position: Business Intel Engineer II - AMZ27354.1 
Location: New York, NY 
 
Multiple Positions Available: 
 
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. 
 
(40 hours / week, 8:00am-5:00pm, Salary Range $129478 - $185000) 
 
Amazon.com is an Equal Opportunity &ndash; Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2>
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting. 
 
The base pay range for this position in New York City is USD $129478 - $185000 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.<h2 class="jobSectionHeader"> 
PREFERRED QUALIFICATIONS</h2>
All applicants must meet all the above listed requirements. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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.</div>

Business Intel Engineer II - AMZ27354.1

<div>
 
 Your role
 
 
 
 Does the fixed income markets interest you? Do you like to work in a fast-paced environment ? Does having multiple responsibilities excite you?
 
 
 <ul>
 <li>
 Execute fixed income trades for SMA and brokerage accounts on an agency basis within an open architecture model across multiple fixed income products
 </li>
 <li>
 In-depth knowledge of multiple fixed income products
 </li>
 <li>
 Be familiar with third party execution platforms
 </li>
 <li>
 Leverage all trading relationships and electronic trading platforms to preform our best ex obligation
 </li>
 <li>
 Proactively keep on top of market developments and trading opportunities
 </li>
 <li>
 Handle operational issues and liaison with various operations group to resolve issues
 </li>
 <li>
 Work closely with fixed income sales to increase client activity
 </li>
 <li>
 Be trained to execute in the foreign exchange
 </li>
 <li>
 Adhere to all regulations, internal procedures, and all compliance policies
 
 
 </li>
 </ul>
 
 Job Type
 
 
 
 Full Time
 
 
 
 Job Reference #
 
 
 
 338575BR
 
 
 
 City
 
 
 
 New York
 
 
 
 Your team
 
 
 
 As part of Unified Global Markets, you&rsquo;ll be working in the Execution Hub Group at our office in New York 5 days a week. As part of the Advisory Execution desk, you will be responsible for the execution of all types of taxable fixed income products ranging from 1m - 500mm on an agency basis for Advisory and UHNW clients. This includes the execution of corporate, agency, mortgage back, commercial paper, discount notes and US government securities.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 Ideally 5+ years' experience in the fixed income market
 </li>
 <li>
 Strong Microsoft Excel and Bloomberg skills
 </li>
 <li>
 Strong understanding of financial markets, instruments and strategies
 </li>
 <li>
 Sense of responsibility and interpersonal skill
 </li>
 <li>
 Active series 7 and 63, 65 or 66 license
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
 
 
 We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.
 
 
 
 Salary information
 
 
 
 The indicative gross base salary range as a full-time equivalent role:
 
 
 <ul>
 <li>
 United States - New York - New York min USD 137500 - max USD 160000 /annum
 
 
 </li>
 </ul>
 The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
 
 
 
 Join us
 
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy statements
 
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Fixed Income Trader

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