At a Glance
- Tasks: Translate AI platform capabilities for clients and support sales with technical insights.
- Company: Join a top UK tech company transforming financial data processing with AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team culture focused on learning and development.
- Why this job: Be at the forefront of AI innovation while engaging directly with clients.
- Qualifications: 3-5 years in a technical or analyst role, with strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Nexus FrontierTech empowers institutions with financial data processing products through its proprietary generative AI platform that automates data-driven processes, extracts valuable insights from unstructured data, and improves decision-making processes. Recognized by Deloitte as one of the Top 50 fastest-growing companies in the UK, Nexus offers financial data processing products that power modular AI components.
With a global team of more than 50 AI researchers, analysts, and business leaders, Nexus envisages a digital world transformation that maximises human potential and sustainable value creation.
About The Role: You'll sit between the sales lead and the client's technical stakeholders, translating what our AI platform does into language a COO, Head of Operations, or CIO can act on. You won't carry a cold-calling quota. Instead, you'll make the sales lead credible in the room: preparing technical materials, running discovery calls, and helping shape the solution before commercial terms are discussed.
Who This Is For: Someone 3-5 years into their career, perhaps a business analyst, junior consultant, or technical graduate, who is technical enough to understand a bank's back-office workflow but genuinely enjoys the client-facing side more than heads-down delivery. You want to learn enterprise sales from the technical angle, not the cold-outreach angle.
What You'll Actually Do:
- Partner with the VP of Sales on live opportunities: attend discovery calls, ask the technical questions that matter, and translate requirements back into product terms.
- Build tailored demos, capability decks, and proof-of-concept materials for Tier-1 bank prospects.
- Own the technical narrative in client conversations, covering how the platform fits their existing stack, data governance, and compliance posture.
- Research target accounts' operational setup so conversations start credible, not generic.
- Track technical objections and requirements in CRM, and flag risk before it becomes a lost deal.
What You Bring:
- 3-5 years in a technical, analyst, or delivery-adjacent role, not necessarily 'sales', such as business analysis, implementation, technical consulting, or product.
- Comfortable in a room with COOs and CTOs; you don't need to be told how to hold yourself in front of a client.
- Genuine curiosity about financial services operations, with a willingness to learn the domain.
- No requirement to cold-prospect; that's the VP's job. This is a 'second chair' role, not a hunter role.
Client Solutions Associate (Technical Pre-Sales) employer: Nexus FrontierTech
Nexus FrontierTech is an exceptional employer, recognised as one of the UK's fastest-growing companies by Deloitte, offering a dynamic work environment that fosters innovation and collaboration. Employees benefit from a culture that prioritises professional growth, with opportunities to learn enterprise sales from a technical perspective while engaging directly with high-level clients in the financial sector. Located in a vibrant tech hub, Nexus provides a unique chance to be at the forefront of AI-driven solutions, making a meaningful impact in the financial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Client Solutions Associate (Technical Pre-Sales)
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We think you need these skills to ace Client Solutions Associate (Technical Pre-Sales)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nexus FrontierTech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nexus FrontierTech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nexus FrontierTech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nexus FrontierTech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
