Assistant Manager - Sales

About the job:We have a complex ecosystem of microservices and applications deployed over a fully cloud-based infrastructure. Our tech stack includes Node.js, Vue.js, Python, and Docker. The team is driven by user experience, with a strong focus on delivering scalable software solutions to complex and evolving business goals.

You'll advise working professionals, traders, and finance and tech graduates who want to build careers in algorithmic and quantitative trading. Your job is to understand what each person is aiming for and recommend the programme, EPAT or Quantra, that fits them best.

You don't need any algo trading knowledge on day one. We'll train you on financial markets, our programmes, and how we counsel learners. Within a few months, you'll be handling conversations with a sophisticated audience across India and the APAC region on your own.

Key responsibilities:

A. Counselling and advising:

1. Engage with prospective learners through calls, email, WhatsApp, and other digital channels.

2. Understand each lead's education, work experience, market exposure, and career goals before recommending anything.

3. Explain the curriculum, structure, and learning outcomes of EPAT and Quantra in a way that matches the person's needs.

4. Recommend the programme that fits, and say so plainly when one doesn't.

B. Pipeline and enrolments:

1. Manage assigned leads from first enquiry through follow-ups to enrolment.

2. Address concerns on fees, time commitment, technical prerequisites, and career outcomes by finding the real question behind each.

3. Start by closing Quantra enrolments, then move to EPAT as your domain depth grows.

4. Work towards weekly and monthly enrolment and revenue targets, prioritising high-intent prospects.

5. Follow up consistently and keep LeadSquared (CRM) accurate and up to date.

C. Technology and AI:

1. Use AI tools for prospect research, call preparation, and personalised follow-ups.

2. Verify any AI-generated information before sharing it with a prospect.

3. Stay current on developments in AI, algorithmic trading, and quantitative finance.

D. Beyond the calls:

1. Engage prospects at webinars, product sessions, and market events, and carry those conversations forward

2. Build domain depth through structured training milestones, so you can hold your own with experienced traders

3. Keep learning beyond the curriculum: follow the markets, explore new trading tools and strategies, and bring what you learn into your conversationsWho can apply:Only those candidates can apply who:have minimum 1 years of experienceare from Mumbai onlySalary:₹ 5,00,000 - 8,00,000 /yearExperience:1 year(s)Deadline:[hidden]:59:59Other perks:Informal dress code, 5 days a week, Free snacks & beverages, Health InsuranceSkills required:Inside Sales and Effective CommunicationOther Requirements:1. A bachelor's degree. BMS/BBA/MBA graduates are preferred; Finance specialisation is a plus.2. Clear spoken and written English, with the confidence to speak with experienced professionals. A regional language is an advantage.3. Interest in the stock markets, shown through personal investing, a finance club, or a NISM certification. Not mandatory, but it helps.4. Comfort on the phone and the resilience to keep going when a conversation doesn't convert.5. A consultative mindset: curious, a good listener, and coachable.6. Strong ownership of follow-ups, good organization, and attention to detail.7. Working comfort with Excel and AI tools, and a willingness to learn new platforms quickly.8. Sales internships or campus leadership roles are a plus.About Company:QuantInsti was started in 2010, by the founders from iRage - a leading quant and algo trading firm in India. From its early days focused on bridging the industry knowledge gap in the field of high-frequency trading, we have come a long way in the last decade. Today, we have a user base from 180+ countries with a growth rate much over 50% year-on-year.

At QuantInsti , we swear by our goal of revolutionizing the way people approach the financial markets by empowering individuals and institutions with bleeding-edge education and technologies. We offer high-quality learning experience and best-in-class courses geared towards a global audience in quantitative trading and investing. Our in-house developed technology aims to bring institutional-grade tools and platforms to democratize systematic and quantitative trading.

Responsibilities

We have a complex ecosystem of microservices and applications deployed over a fully cloud-based infrastructure. Our tech stack includes Node.js, Vue.js, Python, and Docker. The team is driven by user experience, with a strong focus on delivering scalable software solutions to complex and evolving business goals.

You'll advise working professionals, traders, and finance and tech graduates who want to build careers in algorithmic and quantitative trading. Your job is to understand what each person is aiming for and recommend the programme, EPAT or Quantra, that fits them best.

You don't need any algo trading knowledge on day one. We'll train you on financial markets, our programmes, and how we counsel learners. Within a few months, you'll be handling conversations with a sophisticated audience across India and the APAC region on your own.

Key responsibilities:

A. Counselling and advising:

1. Engage with prospective learners through calls, email, WhatsApp, and other digital channels.

2. Understand each lead's education, work experience, market exposure, and career goals before recommending anything.

3. Explain the curriculum, structure, and learning outcomes of EPAT and Quantra in a way that matches the person's needs.

4. Recommend the programme that fits, and say so plainly when one doesn't.

B. Pipeline and enrolments:

1. Manage assigned leads from first enquiry through follow-ups to enrolment.

2. Address concerns on fees, time commitment, technical prerequisites, and career outcomes by finding the real question behind each.

3. Start by closing Quantra enrolments, then move to EPAT as your domain depth grows.

4. Work towards weekly and monthly enrolment and revenue targets, prioritising high-intent prospects.

5. Follow up consistently and keep LeadSquared (CRM) accurate and up to date.

C. Technology and AI:

1. Use AI tools for prospect research, call preparation, and personalised follow-ups.

2. Verify any AI-generated information before sharing it with a prospect.

3. Stay current on developments in AI, algorithmic trading, and quantitative finance.

D. Beyond the calls:

1. Engage prospects at webinars, product sessions, and market events, and carry those conversations forward

2. Build domain depth through structured training milestones, so you can hold your own with experienced traders

3. Keep learning beyond the curriculum: follow the markets, explore new trading tools and strategies, and bring what you learn into your conversations