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LSEG

Analytics Sales Analyst

LSEG is hiring an Analytics Sales Analyst in New York, United States. It pays $71k-$119k a year and Level rates it ; you can apply on LSEG.

Level's read on this job

  • Level rates this sales role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include APIs, Excel and sales.
  • Level classifies it as a junior role.
  • Level lists 664 other open roles at LSEG.
  • The role was posted in the last few days.

AI in this role

Drive sales of LSEG financial analytics portfolios with a strong focus on API and AI-enabled Model Context Protocol workflows.

APIsExcel
salesfinancial-analyticsfixed-incomeprospecting

Role Purpose

LSEG’s analytics portfolio spans fixed income and equities, including Yield Book and Adfin analytics. Our customers’ needs are evolving and so are financial markets. Our aim is to meet customers where they are, delivering our best-of-breed analytics directly through APIs, AI-enabled workflows and third-party platforms (order management systems, ALM providers, etc.).

This graduate Sales Analyst role is an entry point into a high-impact sales career. As a member of the agile Analytics Sales team, you will learn the business from experienced sales professionals, gain excellent exposure to senior management within LSEG, and take on real responsibility for prospecting, pitching and closing analytics sales, with a focus on driving API and MCP sales.

About Yield Book

Yield Book, an LSEG business, is a trusted and authoritative source of fixed income analytics, serving market makers and institutional investors for more than 30 years. It provides the models, data and cashflow engines that clients use to measure value and risk on individual securities and to perform portfolio analysis and risk management against benchmarks. Coverage includes millions of natively modelled securities across governments, agencies, corporates, high yield, emerging markets, mortgages, ABS, CMBS, CMOs, CLOs and derivatives, supported by market-leading prepayment, term structure, default and loss severity models.

Yield Book is delivered through multiple channels, including Yield Book Classic (web-based application), the Yield Book Add-In for Excel, the Yield Book Calculator, and the Yield Book REST API, which gives clients direct access to Yield Book’s analytics engine from within their own applications, workflows and trading, risk and compliance systems. LSEG is also extending access to its analytics through Model Context Protocol (MCP) connections, allowing AI assistants and agents to use trusted LSEG analytics in client workflows. API and MCP delivery are central to our growth strategy and to this role.

Role Summary

As part of the Analytics Sales Team, you will support and develop new prospects and opportunities with new and existing clients and partners (including third-party redistributors and co-sellers), working alongside senior sales colleagues. You will help prospect, pitch and close Yield Book analytics sales, with a particular focus on API and MCP opportunities. Collaborating with account management will be instrumental in identifying customer pain points so that we can focus on solution selling. Your market feedback will be critical in shaping the business strategy as we identify the challenges our customers are facing, so that we can develop and deliver scalable solutions.

Why Join This Team

You will join a seasoned, high-performing team of sellers with deep fixed income and analytics expertise and a strong record of winning and growing business. For a graduate, it is an ideal place to learn the craft of selling from the best, and to see how your work contributes to results from the start.

  • Learn directly from veteran sellers who have closed complex analytics deals with the world’s leading banks, asset managers, insurers and hedge funds
  • Shadow client meetings, pitches and negotiations from day one, and see how winning deals are structured and closed
  • Benefit from hands-on coaching and a culture of sharing what works, so you build skills and confidence quickly
  • Join a team that consistently delivers results and rewards initiative, giving you a clear path to take on larger accounts and more responsibility
  • Build relationships with senior leaders across sales, product and technology while contributing to the growth of our API and MCP offerings
  • Work directly with front-office clients, including portfolio managers and traders, as well as risk management departments, gaining first-hand insight into how the world’s leading institutions use analytics to price, trade and manage risk
  • Build a valuable career network across buy-side and sell-side firms, and within LSEG, that will support you throughout your career in financial markets

Role Responsibilities

  • Proactively prospect and generate new leads and opportunities for Yield Book analytics, with a focus on API and MCP sales, through research, outreach and networking
  • Support the full sales cycle from first contact to close, including preparing and delivering product pitches and demos, coordinating trials, and following up on proposals and contracts
  • Build and maintain your sales pipeline and CRM records to support quarterly and annual revenue attainment
  • Learn Yield Book products and fixed income analytics, and translate technical capabilities into clear client value for portfolio managers, risk teams, developers and technology partners
  • Work closely with analytics solutions, product management, account management and marketing teams to capture market intelligence, competitor analysis and market trends
  • Contribute to quarterly business plans, campaign tracking and target-account planning
  • Support go-to-market plans and increase brand and product awareness through events, webinars and outreach
  • Travel to meet clients, prospects and partners and to attend industry events

What you Bring:

  • Bachelor’s degree (recent graduate or graduating soon) in Finance, Economics, Business, Mathematics, Computer Science, Engineering or a related field
  • Strong interest in a sales career in financial markets, with a proactive, self-starting approach and the drive to pursue opportunities independently
  • Interest in or foundational knowledge of fixed income, mortgage-backed securities or structured finance (internship or coursework experience is a plus)
  • Curiosity about APIs, data and AI technologies (such as MCP), with the ability to learn technical concepts quickly and explain them clearly; any Python or coding exposure is a plus
  • Software skills: proficiency with Excel and PowerPoint
  • Excellent written and verbal communication skills, and comfort building relationships with various stakeholders at financial institutions
  • Organized, resilient and goal-oriented, with a collaborative team mindset
  • Willingness to travel (moderate, approximately 25%)

Career Stage:

Senior Associate

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $71,200 - $118,800.

Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Variable Incentive Compensation plan. Target variable compensation will be commensurate with the posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.

LSEG unlocks the power of markets to create opportunities across the global economy.

Through our connected network of market infrastructure, data and analytics, we help customers access capital, manage risk and make confident decisions.


Our insights bring clarity to complex markets, and our trusted services ensure resilience and stability. With deep expertise and global scale, we partner with customers to drive innovation and shape the future of finance.

Few organisations operate at the scale, complexity and reach of LSEG. Here, you’ll work alongside experts, be inspired to deliver your best work and help shape what’s next for our business and the global economy.


Guided by our values of Integrity, Partnership, Excellence and Change, we bring together diverse perspectives, encourage fresh thinking, and create an environment where learning never stops.

Join more than 26,000 colleagues across 60 countries, supporting customers in over 170 countries. Alongside flexible ways of working, you'll have access to benefits that support your wellbeing and your future, including 26 weeks' parental leave, healthcare, retirement planning and a wellness allowance. Through the LSEG Foundation and two paid volunteering days each year, you’ll also have opportunities to get involved in your local community and support causes that matter to you.


We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.


Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.


By clicking on "Apply", the process for submitting an application will begin. If you have any questions prior to clicking "Apply", please contact the recruiter.


If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.


LSEG. Make more possible.

How we rate this

Analytics Sales Analyst at LSEG rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SalesFinancial AnalyticsFixed IncomeProspectingAPIsExcel

Also common in sales jobs at this level

Pay

This job starts at
$71k
Typical sales job
$140k

This posting starts 49% below the typical sales job. See sales jobs

Questions you could be asked

  1. Tell me about a project where sales was part of your work. What did you do?
  2. Tell me about a project where financial analytics was part of your work. What did you do?
  3. Tell me about a project where fixed income was part of your work. What did you do?
  4. Tell me about a project where prospecting was part of your work. What did you do?
  5. Walk me through how you've used APIs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Sales, Financial Analytics, Fixed Income, Prospecting, and APIs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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