Business Development Apprentice, SESAMm
1 Year Contract
Big data & artificial intelligence for investment firms
Job no longer available
Big data & artificial intelligence for investment firms
21-100 employees
Job no longer available
21-100 employees
Company mission
To empower investment professionals with highly modular AI platforms.
Role
Who you are
- An excellent level of English proficiency, very good interpersonal skills and strong motivation are required
- The candidate will need to demonstrate autonomy and innovation in the face of a constantly changing environment
- The list of tasks described is not necessarily exhaustive and may be modified according to the constraints of the company and the evolution of its needs
- Master's degree in market finance or similar degree from Business/Engineering School
- Initial experience in sales of financial software tools or in sales in market finance (funds or financial products) preferred
- Knowledge in financial markets and strong appetite for Data Science and AI technologies
- Creative personality and problem-solving attitude with a strong autonomy
- Excellent verbal and written communication skills in English. French or other language a plus
- Self-motivated and ambitious, you are ready to go the extra mile to make a difference
- Word, Excel, PowerPoint and other relevant skills
- Prior experience of using a CRM tool preferred
- Any (light) programming experience is appreciated
What the job involves
- As part of the International Sales Team, you will assist the Sales Managers with the main goal of bringing new sales leads and helping to optimize the sales process and manage the pipeline of prospects
- You will learn to promote advanced analytics and data solutions to high-level individuals (C-levels, Heads of Data Science, CIOs, Heads of Innovation, etc.) in Private Equity, Asset Management, Insurance and Corporates. Some occasional traveling can be expected
- CRM Management: Research prospects, qualify them and help bring new leads by identifying opportunities. Continually fin ways to improve pipeline management and the sales process
- Pool Management: Be responsible for our pool of cold and warm leads. Manage prospects independently and conduct outreach campaign's to generate meetings through emailing and calls
- Marketing and Research: Occasionally assist the Marketing team update Sales & Marketing documents or conduct Market research studies for our Sales Strategy Research
- Assist the Sales Team in daily tasks: participate in business meetings and calls, help prepare meetings and assist in the negotiation and contractual phases, keep track of sales KPIs
- Liaise with clients and partners, help organize events and negotiate with providers
- Participate in conferences, networking events and meetings
- Work closely with other teams at SESAMm, including engineers (big data experts, researchers, quantitative analysts, data scientists)
- Knowledge sharing: Understand and effectively explain SESAMm's offering as well as commercial best practices to new team members
- Growth: Analyze sales data and recommend new outreach strategies to exceed monthly and quarterly targets
Application process
- Apply!:
- Apply directly online on our recruitment site by choosing the positions that correspond to you. If a position doesn’t match your search, and you really want to work at SESAMm, submit an “unsolicited” application. We don’t mind
- Application sorting:
- When we receive your application, the HR team and hiring managers will sort all the applications
- Codingame test:
- If your profile is technical, we will ask you to take a Codingame test. You’ll receive a link by email, and you’ll take the test directly on the Codingame platform
- HR interview:
- We’ll invite you to an interview via video conference with our HR team. Following this interview, you’ll receive feedback within 48 hours
- Technical tests and meeting with the team:
- If your HR interview was successful, we’ll invite you to a technical test or to meet our teams—in some cases, you might do both. Our teams will help you to better understand the missions of the position and the culture of SESAMm, and you’ll have a chance to get to know the team members
- Welcome to the SESAMm adventure!:
- Once you’ve accepted our offer, come and write the rest of the SESAMm story with us!
- If you’re turned down at any stage of our recruitment process, we’ll keep you informed and send you an anonymous survey to gather feedback in order to continually improve our candidate experience and process
- Start Date: September 2025
Our take
The investment industry is rapidly evolving, the democratisation of Artificial Intelligence and the tremendous amount of alternative data presents opportunities and challenges. With regards to web data, there is a huge and growing corpus of unstructured content online in hundreds of different languages, which requires increasingly sophisticated Natural Language technologies to extract valuable insights on public and private companies.
SESAMm have developed a modular Natural Language Processing Platform which enables data scientists and investment professionals to generate insights and analytics from a huge data-lake of 20B web-based articles and messages. It covers more than 5M entities and insights can be delivered via an API, web-based dashboards, or pre-processed daily data feeds.
The result is that SESAMm's software turns big data into smart data to give users, typically major hedge funds, banks, and asset managers, a competitive advantage with which to manage assets. Such clients include Carlyle, MUFG and Nomura.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2023
$39.5m
SERIES B
Jan 2021
$8.5m
SERIES B
Total funding: $57.1m
Company HQ
Saint-Georges, Paris, France
Leadership
Florian Aubry
(Co-Founder & CTO)Studied Mechatronics at INSA de Strasbourg before co-founding SESAMm.
Pierre Rinaldi
(Co-Founder & COO)They hold a Master's degree in Corporate Finance from Burgundy School of Business.
Sylvain Forté
(Co-Founder & CEO)They hold a Master's degree in Engineering from the University of INSA Strasbourg.
Salary benchmarks
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