To achieve the mission, Kenyt.AI is looking for sales geniuses to help it increase the client base and reach newer cities, within India and abroad. The business verticals we are focusing on are real estate, retail, hotels and hospitals. So, if you enjoy the challenge of finding early customers for a brand-new technology, sell value proposition to senior management of businesses, establish deep connects in the industry, and have what it takes to succeed, we would love to hear from you.
What you will get :
- A competitive salary based on your experience and skills
- Experience of expanding the company sales in a new geographies (India and abroad)
- Talking to client's senior management, pitching to them and closing the sales
- Exposure to AI technology and business around it which is in great demand in market
- Opportunity to work directly with an experienced team of founders having a combined industry experience of 30+ years
- Potential to make tons of money (We believe in sharing success; For every sale you make, you will get % commission of revenue)
Responsibilities :
- Identify business opportunities by doing market research and identifying right prospects
- Sell products by establishing contact with client's senior management and pitching and selling the product to them
- Follow and execute on monthly and quarterly sales targets
- Establish sales pipeline and sales funnel
- Prepare reports by collecting, analysing and summarizing information
Requirements :
- Experience : 2-6 years industry experience in Sales
- Excitement : Selling brand-new technology products
- Passion : Sales
- Attitude : Do what it takes
About Kenyt.AI
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• Thorough working knowledge of the SDLC/Agilemodels/methodologies/, HR systems (like SAP, Oracle, etc.)and their direct implementation to projects.
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product insights that will drive product
strategy and roadmap
Develop dashboards and define metrics that
inform success for the Product Team
Help design, execute and evaluate A/B tests to
improve the user journey
Explore large, complex, and loosely defined
datasets to create actionable insights
Facilitate changes to product features to
improve competitive position and optimal
product performance. Work collaboratively with various teams
including marketing, business, UX, customer
support and engineering teams etc.
1-3 years of analyst experience at a product
company. Undergraduate degree from Tier 1 Colleges (IIT
/ BITS / NIT)
Comfortable diving into data and deriving
tangible insights
Experience with product analytics tools like
Amplitude/Clevertap, and data visualization
tools like PowerBI/Tableau is a plus
Experience with running A/B tests and
experiments
Prior Startup and Fintech experience is a plus
Prior startup experience is a plus
Role and Responsibilities
A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.
- Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
- Management of Quantitative Trading Programs.
- Data Analysis
Requirements
Education (Candidate should satisfy one of the following)
- B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
- Tech with good grades and strong quantitative aptitude
- CFA/FRM Level 1 cleared
- Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)
Skills
- Exceptional Quantitative Aptitude
- Psychological composure and Logical/Objective decision making
- Comfortable working on computer programs
Preferences
Following skill sets are not required but candidate will get preference if he/she possesses any of the following:
- Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
- MATLAB/R for Time series analysis
- Knowledge of AFL ( Amibroker Formula Language)
Advantages
- Steep learning curve
- Extensive training on mathematics of derivatives market
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- Very small team and merit based growth
- Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)
Pay Structure
- Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
- Pay Structure post the training period:
Junior Trader:
Base Salary I + 5% of Revenue share
Senior Trader:
(Base Salary I + 27% hike) + 10% of Revenue Share
Working Hours
We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks
- Standard Market Hours
- Training Pre and Post market hours
- Our doors are open till the time you are working
Selection Process
- Quantitative Aptitude Test
- Psychometric Test
- Personal Interview
- Super Day (Hands on work on high paced advance programs)