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ai full stack engineer equities technology

Millennium Management

<div>AI Full Stack Engineer - Equities Technology
We are building the next generation of Large Language Model applications driven by Portfolio Manager requirements that deliver immediate value and scale as a core product. We are looking for an AI Full Stack Engineer to lead this work within the Equities Technology AI group. This role will be responsible for designing, expanding, and optimizing the architecture of a strategic, evolving AI platform and its user-facing applications. The ideal candidate is an experienced engineer who enjoys building and owning high-performance, production-grade AI systems end-to-end (UI through backend) from the ground up.
Responsibilities<ul><li>
Understand and translate Portfolio Manager and business problems into robust, production-ready AI solutions.</li><li>
Design, build, test, deploy, and own LLM-based products that solve specific Portfolio Manager workflows and generalize into reusable AI capabilities.</li><li>
Design and implement agentic AI systems that perform multi-step reasoning, planning, and tool execution.</li><li>
Own the end-to-end LLM architecture and lifecycle, including prompt design, model selection, evaluation, deployment, and iteration.</li><li>
Work closely with stakeholders across business and technology organizations to optimize product design and adoption in production environments.</li><li>
Design and build user-facing web applications for AI-powered workflows, including conversational and task-driven UIs used by Portfolio Managers.</li><li>
Implement and own front-end architecture (state management, component design, performance, accessibility) and integrate it with LLM/agent services and data APIs.</li><li>
Partner with design/product to iterate quickly on UX, while maintaining production-grade engineering standards across both client and server.</li></ul>
Qualifications<ul><li>
Master&rsquo;s or Bachelor&rsquo;s degree in a technical field with 5+ years of industry experience.</li><li>
Strong full stack engineering experience across Python and modern TypeScript/JavaScript stacks, including microservices, REST APIs, and web application development.</li><li>
Hands-on experience building and operating production-grade LLM applications.</li><li>
Experience with agentic and LLM frameworks.</li><li>
Strong understanding of agentic patterns including tool use, planning, memory, and reflection.</li><li>
Experience with retrieval-augmented generation, vector databases, and semantic search systems.</li><li>
Experience developing end-to-end asynchronous applications and distributed systems.</li><li>
Experience deploying AI systems in cloud environments such as AWS or GCP.</li><li>
Strong experience building production front ends (e.g., React/Next.js or equivalent), including authentication/authorization integration and secure consumption of backend APIs.</li><li>
Strong interpersonal and communication skills with the ability to operate independently and collaboratively in a fast-paced environment.</li></ul><div></div>
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

AI Full Stack Engineer - Equities Technology

NavitasPartners

<div><h1 class="jobSectionHeader">Senior Python Backend&ndash;Heavy Full Stack AI Engineer (LangGraph)</h1>

Location - New York City
<h2 class="jobSectionHeader">
Role Overview</h2>

We are seeking a Senior Python Backend&ndash;Heavy Full Stack AI Engineer with hands-on experience in LangGraph and agentic AI systems.

This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused and capable of delivering immediate impact.

<h2 class="jobSectionHeader">Core Responsibilities</h2>
<ul>
<li>Build and deploy AI agents using LangGraph
</li>
<li>Develop backend-heavy AI systems using Python + FastAPI
</li>
<li>Implement:
<ul>
<li>RAG pipelines
</li>
<li>Text-to-SQL systems
</li>
<li>Prompt-engineered agent workflows
</li>
<li>Business data summarization tools
</li>
</ul></li><li>Integrate AI capabilities into enterprise applications
</li>
<li>Work with structured datasets (PostgreSQL)
</li>
<li>Collaborate with business stakeholders
</li>
<li>Contribute to frontend updates when required (TypeScript)
</li>
</ul><h2 class="jobSectionHeader">Required Technical Skills</h2>
<h3 class="jobSectionHeader">Backend (Primary Focus)</h3>
<ul>
<li>Strong Python proficiency
</li>
<li>FastAPI experience
</li>
<li>Strong SQL skills
</li>
<li>PostgreSQL experience
</li>
<li>API design &amp; production architecture experience
</li>
</ul><h3 class="jobSectionHeader">AI / Agentic Frameworks (Critical)</h3>
<ul>
<li>Hands-on LangGraph experience
</li>
<li>Strong understanding of:
<ul>
<li>Agent orchestration
</li>
<li>Prompt engineering
</li>
<li>RAG architectures
</li>
<li>Text-to-SQL pipelines
</li>
</ul></li><li>Experience building production-ready AI agents
</li>
</ul><h3 class="jobSectionHeader">Frontend (Secondary)</h3>
<ul>
<li>Working knowledge of TypeScript
</li>
<li>Ability to support UI changes when required</li></ul></div>

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

Afficiency

<div>
 
 Company Description
 
 
 
 Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence.
 
 
 
 Job Description
 
 
 
 We are looking for a versatile AI Full Stack Engineer with strong prompt engineering expertise and a business-oriented mindset to join our team. This role sits at the intersection of software engineering, AI-powered development, and business strategy. You will collaborate directly with business product leaders to design, build, and ship end-to-end web and mobile applications using cutting-edge AI development tools such as Claude Code, GitHub Copilot, Cursor, and similar platforms.
 
 
 The ideal candidate is not just a technically proficient developer but a strategic thinker who understands how technology translates into business value. You will be responsible for rapidly prototyping, iterating, and delivering production-grade applications that solve real business problems&mdash;leveraging AI-assisted coding to dramatically accelerate the development lifecycle.
 
 
 
 Responsibilities
 
 
 
 
 Please note that this job is only hiring candidates that live in the Metro NYC area and can commute to the office.
 
 
 
 
 AI-Powered Full Stack Development
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end web and mobile applications using modern frameworks (React, Next.js, Node.js, Python/Django, or similar).
 </li>
 <li>
 Leverage AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Windsurf, etc.) to accelerate coding, debugging, testing, and deployment workflows.
 </li>
 <li>
 Build responsive, accessible, and performant user interfaces with seamless backend API integrations.
 </li>
 <li>
 Implement cloud-native architectures on Azure, AWS, or GCP with CI/CD pipelines, containerization, and infrastructure-as-code.
 
 
 </li>
 </ul>
 
 Prompt Engineering &amp; AI Integration
 
 
 
 <ul>
 <li>
 Craft, optimize, and maintain sophisticated prompts and prompt chains for large language models (LLMs) to power conversational interfaces, automation workflows, and intelligent features.
 </li>
 <li>
 Integrate AI/ML capabilities into applications, including natural language processing, content generation, data extraction, and decision support systems.
 </li>
 <li>
 Evaluate, benchmark, and select appropriate AI models and APIs for specific business use cases.
 </li>
 <li>
 Develop and maintain prompt libraries, templates, and best practices documentation for the engineering team.
 
 
 </li>
 </ul>
 
 Business Collaboration &amp; Product Delivery
 
 
 
 <ul>
 <li>
 Partner directly with business product leaders, stakeholders, and cross-functional teams to translate business requirements into technical solutions.
 </li>
 <li>
 Participate in product discovery, roadmap planning, and sprint ceremonies to align engineering output with business objectives.
 </li>
 <li>
 Communicate technical concepts clearly to non-technical stakeholders and provide data-driven recommendations on technology choices.
 </li>
 <li>
 Rapidly prototype and iterate on concepts to validate product-market fit and user experience hypotheses.
 
 
 </li>
 </ul>
 
 Quality, Security &amp; Best Practices
 
 
 
 <ul>
 <li>
 Write clean, maintainable, well-documented code with comprehensive test coverage (unit, integration, E2E).
 </li>
 <li>
 Implement security best practices including authentication (OAuth2, SSO), data encryption, and compliance frameworks (SOC 2, GDPR, HIPAA as applicable).
 </li>
 <li>
 Conduct code reviews, mentor junior developers, and contribute to engineering culture and standards.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven full‑stack engineering experience delivering and maintaining production‑grade applications.
 </li>
 <li>
 Expertise in modern frontend frameworks such as React, Next.js, Vue, or Angular.
 </li>
 <li>
 Strong backend development skills using Node.js, Python, Java, or Go.
 </li>
 <li>
 Practical experience with AI‑assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor).
 </li>
 <li>
 Hands‑on experience integrating LLMs, prompt engineering, and building AI‑driven product features.
 </li>
 <li>
 Cloud proficiency&mdash;Azure preferred&mdash;covering serverless services, SQL/NoSQL databases, and DevOps workflows.
 </li>
 <li>
 Deep understanding of REST APIs, GraphQL, microservices, and event‑driven architectures.
 </li>
 <li>
 Excellent communication skills and ability to translate business requirements into technical deliverables.
 </li>
 <li>
 Bachelor's degree in computer science or equivalent professional experience.
 </li>
 <li>
 Preferred: background with Microsoft ecosystem (Azure AI, Power Platform, Copilot Studio), SaaS/B2B products, data/ETL platforms, mobile development, security frameworks, startup environments, or business certifications (MBA/PM).
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex data pipeline issues.
 </li>
 <li>
 Strong communication skills to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Knowledge of data privacy and security best practices.
 </li>
 <li>
 Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
 </li>
 <li>
 Certifications in relevant technologies (e.g., AWS Certified Data Analytics - Specialty) are advantageous.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary with equity options
 </li>
 <li>
 Robust health, dental, and vision benefits for employee and dependents
 </li>
 <li>
 401k matching contributions
 </li>
 <li>
 Generous PTO policy
 </li>
 <li>
 Work at a supportive and fast-growing startup with a fantastic team
 </li>
 <li>
 Environment to learn from other team members, grow a business from the ground up.
 </li>
 <li>
 Support in developing your skills and accelerating your career quickly.
 </li>
 <li>
 Opportunity to make an impact in the lives of tens of millions of consumers and get families the protection they need.
 
 
 </li>
 </ul>
 
 Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.
 
</div>

Full Stack Developer

MyRemoteTeam Inc

<div>
 
 We are seeking senior
 
 Finance &amp; Asset Management SMEs
 
 to evaluate AI models used in portfolio analysis, investment research, and risk management.
 
 
 
 
 
 Ideal candidates come from firms like:
 
 
 
 BlackRock, JP Morgan, Goldman Sachs, Morgan Stanley, Fidelity, Vanguard, Charles Schwab, PIMCO, Citi, Wells Fargo
 
 , etc.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assess AI-generated investment insights, risk reports, compliance logic, portfolio recommendations
 </li>
 <li>
 Validate datasets on equities, fixed income, alternatives, derivatives, ETFs, macro analysis
 </li>
 <li>
 Evaluate model reasoning for allocations, factor models, benchmarks, drawdown/risk metrics
 </li>
 <li>
 Provide domain guidance to align AI output with real-world investment standards
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Finance, Economics, Investment Management, or CFA preferred
 </li>
 <li>
 
 7+ years
 
 in portfolio management, sell-side/buy-side research, risk, quant, or asset management
 </li>
 <li>
 Strong understanding of Sharpe, beta, VaR, stress testing, backtesting, AUM workflows, client suitability
 </li>
 <li>
 Experience with Bloomberg, FactSet, Morningstar Direct, Aladdin, or similar tools is a plus
 </li>
 </ul>
 
 
 
 
 
 Details
 
 
 <ul>
 <li>
 Remote, flexible freelance
 </li>
 <li>
 Laptop provided
 </li>
 </ul>
 
 📩 Apply by sending resume + hourly rate to ayush.chatterjee@truelancer.com
 
</div>

Quantitative Analyst (CA/CFA Mandatory)

Finch

<div>
 
 About Finch
 
 
 
 We believe every American household deserves access to counsel in life&rsquo;s biggest moments. At Finch, we&rsquo;re building the infrastructure to make justice radically more accessible. Our modern approach to consumer law automates the admin work and puts clients first, starting with personal injury.
 
 
 Since launching in April, we&rsquo;ve grown 10x and are now powering pre-litigation for top law firms across the country. We combine expert operators with purpose-built AI to handle intake, claim opening, medical records, police reports, lien management, demands, and everything in between.
 
 
 We&rsquo;re backed by Sequoia, Redpoint, and the founders &amp; CEOs of generational companies like DoorDash, Ironclad, and Digits. We&rsquo;re rebuilding how the law serves everyday Americans from first principles, and we&rsquo;re hiring exceptional operators to help us scale it nationwide.
 
 
 
 This Role
 
 
 
 Personal injury law is drowning in repetitive tasks, paper-based bottlenecks, and fragmented data &mdash; and we're building the software to fix it. As a Software Engineer at Finch, you'll own critical features end-to-end, ship fast, and work directly alongside product, ops, and design in a codebase where your decisions matter from day one.
 
 
 
 What You'll Do
 
 
 
 This is a full-stack engineering role at a company where the product is evolving quickly and engineers have real ownership &mdash; expect the scope to grow as we do.
 
 
 <ul>
 <li>
 Own major features end-to-end, from architecture decisions through production release.
 </li>
 <li>
 Build reliable, performant systems across our core workflows using Python/Django, React, and AWS.
 </li>
 <li>
 Ship AI-powered functionality that turns legal complexity into clear, usable software for law firms.
 </li>
 <li>
 Collaborate directly with product, ops, and design to define what gets built and why.
 </li>
 <li>
 Shape our engineering culture, standards, and practices while we're still small enough for it to matter.
 
 
 </li>
 </ul>
 
 Who We Have In Mind
 
 
 
 This role is for engineers who want ownership over outcomes, not just tickets. Here's what that requires.
 
 
 Must-Haves
 
 
 <ul>
 <li>
 3+ years building reliable, secure software in production.
 </li>
 <li>
 Full-stack experience &mdash; comfortable across the frontend and backend.
 </li>
 <li>
 Proficiency in Python and React, or demonstrably fast at picking up new stacks.
 </li>
 <li>
 A track record of writing clean, testable, maintainable code.
 
 
 </li>
 </ul>
 Nice-to-Haves
 
 
 <ul>
 <li>
 Experience with Django, AWS, or OpenAI APIs.
 </li>
 <li>
 Prior work at an early-stage startup where you helped set engineering standards.
 </li>
 <li>
 Familiarity with legal tech, document processing, or data-heavy workflows.
 
 
 </li>
 </ul>
 This Role Might Not Be For You If
 
 
 <ul>
 <li>
 You do your best work with a well-defined spec and a stable, established codebase.
 </li>
 <li>
 You prefer deep specialization in one layer of the stack over full-stack ownership.
 </li>
 <li>
 You're looking for a remote-first role &mdash; this one is 4 days/week in our NYC office.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The expected package for this role includes base salary + equity.
 
 
 <ul>
 <li>
 Base salary = $160,000 - $250,000
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 100% coverage for health, dental, and vision.
 </li>
 <li>
 401(k) retirement plan.
 </li>
 <li>
 In-office snacks, drinks, and daily team lunches and dinners.
 </li>
 <li>
 Flexible PTO (we trust you to take the time you need).
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Intro: An initial call to see if there's a mutual fit.
 </li>
 <li>
 Interview: An interview that typically involves a case assignment of sorts.
 </li>
 <li>
 Onsite: A visit to our NYC office to interview, meet the team, and have lunch.
 
 
 </li>
 </ul>
 
 At Finch Legal, we believe in practicing what we advocate.
 
 
 
 As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences &mdash; regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status.
 
 
 We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn&rsquo;t just a value &mdash; it&rsquo;s a practice.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer

Finch Legal

<div><h2 class="jobSectionHeader">About Finch</h2>
We believe every American household deserves access to counsel in life&rsquo;s biggest moments. At Finch, we&rsquo;re building the infrastructure to make justice radically more accessible. Our modern approach to consumer law automates the admin work and puts clients first, starting with personal injury.
Since launching in April, we&rsquo;ve grown 10x and are now powering pre-litigation for top law firms across the country. We combine expert operators with purpose-built AI to handle intake, claim opening, medical records, police reports, lien management, demands, and everything in between.
We&rsquo;re backed by Sequoia, Redpoint, and the founders &amp; CEOs of generational companies like DoorDash, Ironclad, and Digits. We&rsquo;re rebuilding how the law serves everyday Americans from first principles, and we&rsquo;re hiring exceptional operators to help us scale it nationwide.<h2 class="jobSectionHeader">
This Role</h2>
Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well &mdash; and we're building the AI to fix it. As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from prototype to production, working on problems where a single breakthrough can meaningfully change how law firms operate.<h2 class="jobSectionHeader">
What You'll Do</h2>
This is a hands-on applied AI role where you'll build and ship production systems &mdash; not just run experiments. The scope will grow as our product and team do.<ul><li>
Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.</li><li>
Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.</li><li>
Own the full ML lifecycle &mdash; model selection, fine-tuning, prompt design, deployment, and monitoring.</li><li>
Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.</li><li>
Track emerging research and tools, and make deliberate calls about when to bring them into our stack.</li></ul><h2 class="jobSectionHeader">
Who We Have in Mind</h2>
This role is for engineers who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook. Here's what that requires.<h3 class="jobSectionHeader">
Must-Haves</h3><ul><li>
3+ years building and deploying production ML systems.</li><li>
Strong Python skills and experience working across the ML stack end-to-end.</li><li>
Hands-on experience with LLMs, prompt engineering, and evaluation design.</li><li>
A track record of shipping observable, maintainable AI systems &mdash; not just prototypes.</li></ul><h3 class="jobSectionHeader">
Nice-to-Haves</h3><ul><li>
Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).</li><li>
Prior work at an early-stage startup where you helped define ML infrastructure from scratch.</li><li>
Familiarity with legal tech, document-heavy workflows, or regulated industries.</li></ul><h3 class="jobSectionHeader">
This Role Might Not Be For You If</h3><ul><li>
You prefer research or experimentation over owning systems in production.</li><li>
You do your best work with a well-scoped problem and a stable, established ML platform.</li><li>
You're looking for a remote-first role &mdash; this one is 4 days/week in our NYC office.</li></ul><h2 class="jobSectionHeader">
Compensation</h2>
The expected package for this role includes base salary + commission + equity.<ul><li>
Base salary = $170,000 - $250,000</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
100% coverage for health, dental, and vision.</li><li>
401(k) retirement plan.</li><li>
In-office snacks, drinks, and daily team lunches and dinners.</li><li>
Flexible PTO (we trust you to take the time you need).</li></ul><h2 class="jobSectionHeader">
Interview Process</h2><ul><li>
Intro: An initial call to see if there's a mutual fit.</li><li>
Interview: An interview that typically involves a case assignment of sorts.</li><li>
Onsite: A visit to our NYC office to interview, meet the team, and have lunch.</li></ul><h2 class="jobSectionHeader">
At Finch Legal, we believe in practicing what we advocate.</h2>
As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences &mdash; regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status.
We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn&rsquo;t just a value &mdash; it&rsquo;s a practice.
Compensation Range: $170K - $250K</div>

Machine Learning Engineer

Jefferies

<div>
 
 Job Description
 
 
 
 
 Job Description: Asia (Emerging Markets) Equity Sales &mdash; North America Coverage
 
 
 
 
 Role Summary
 
 
 
 We are seeking an equity sales professional (5&ndash;6 years&rsquo; experience) to grow and service North American institutional clients across Pan‑Asia Emerging Markets equities. The role sits on the Asia Sales Desk and is responsible for driving secondary trading ideas, corporate access engagement, and coordinated coverage with Asia‑based trading, research, and ECM teams.
 
 
 
 Key Coverage / Product Scope
 
 
 
 <ul>
 <li>
 Region: Pan‑Asia Emerging Markets (e.g., China/HK, Korea, Taiwan, India, ASEAN)
 </li>
 <li>
 Product: Cash equities (and equity‑linked solutions as applicable), sector/thematic idea flow, corporate access, research distribution
 </li>
 <li>
 Clients: North American institutions (e.g., long‑only, hedge funds, pension/sovereign, endowments, family offices)
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Client Coverage &amp; Revenue Generation
 
 
 
 <ul>
 <li>
 Own and expand a portfolio of North American institutional accounts for Asia EM equities; develop multi‑year revenue plans and quarterly execution targets.
 </li>
 <li>
 Generate trading and advisory revenue through differentiated idea origination, sector/thematic positioning, and timely market color.
 </li>
 <li>
 Partner with Asia execution/trading to deliver high‑quality outcomes on block/illiquid names and event‑driven flows.
 
 
 </li>
 </ul>
 
 Market Intelligence &amp; Idea Delivery
 
 
 
 <ul>
 <li>
 Provide clients with actionable market updates, flows, technical, and event catalysts across Asia EM.
 </li>
 <li>
 Distribute research effectively and translate it into tradeable recommendations; tailor messaging by client style (LO vs HF, fundamental vs quant).
 </li>
 <li>
 Identify cross‑market relative value, sector rotations, index/rebalance implications, and macro‑to‑micro linkages relevant to Asia EM.
 
 
 </li>
 </ul>
 
 Corporate Access &amp; Franchise Development
 
 
 
 <ul>
 <li>
 Coordinate corporate access (NDRs, reverse roadshows, conferences, 1x1s) aligned with client priorities and firm objectives.
 </li>
 <li>
 Work with Research, IBD/ECM, and country coverage to position the franchise around key corporates and event calendars.
 
 
 </li>
 </ul>
 
 Internal Coordination &amp; Execution Excellence
 
 
 
 <ul>
 <li>
 Act as a bridge between North America clients and Asia‑based teams (sales, trading, research, syndicate).
 </li>
 <li>
 Maintain strong day‑to‑day execution discipline: indications, IOIs, axes, follow‑ups, post‑trade reviews, and pipeline management.
 </li>
 <li>
 Contribute to desk strategy, including coverage segmentation, product initiatives, and marketing content.
 
 
 </li>
 </ul>
 
 Risk, Controls, and Conduct
 
 
 
 <ul>
 <li>
 Operate within all applicable policies and regulatory frameworks (e.g., information barriers, communications/recordkeeping).
 </li>
 <li>
 Ensure appropriate handling of sensitive information; escalate issues promptly and adhere to best execution and suitability standards as applicable.
 </li>
 <li>
 Maintain accurate client records and activity tracking in CRM systems.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 5&ndash;6 years of experience in equities sales (cash equities preferred) with demonstrated client interaction and revenue contribution.
 </li>
 <li>
 Strong knowledge of Asia Emerging Markets equities and key regional market structure (liquidity, trading hours, local conventions).
 </li>
 <li>
 Proven ability to communicate investment views clearly and credibly with sophisticated institutional clients.
 </li>
 <li>
 Track record of building internal networks and collaborating across time zones.
 </li>
 <li>
 Bachelor&rsquo;s degree required; relevant licenses/registrations as required for the jurisdiction (or ability to obtain promptly).
 
 
 </li>
 </ul>
 
 Core Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Client relationship management and consultative selling mindset
 </li>
 <li>
 Strong product knowledge: cash equities, sector/thematic positioning, corporate access, events/catalysts
 </li>
 <li>
 Execution fluency: blocks, liquidity discovery, risk/urgency management, post‑trade follow‑through
 </li>
 <li>
 High‑quality written and verbal communication (market notes, trade rationale, meeting prep)
 </li>
 <li>
 Highly organized; strong CRM hygiene and pipeline discipline
 </li>
 <li>
 Comfortable working across North America/Asia time zones as needed
 
 
 </li>
 </ul>
 New York, NY Full Time Salary Range of $165,000-175,000.
 
 
 
 About Us
 
 
 
 Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
 
 
 At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
 
 
 Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
 
 
 The salary offered will take into consideration an individual&rsquo;s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.
</div>

Asia (Emerging Markets) Equity Sales — North America Coverage

Explore 1063+ Ai full stack engineer equities technology in New York United States this March. Find roles across top companies and apply now to boost your career.