משרות פתוחות
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Business development manager
פורסם לפני 3 שבועותשם החברה: machine learning intelligenceמיקום: IL (ישראל ארצי) סוג המשרה: משרה מלאה
סקירה כללית
Group 8 Security Solutions Inc, DBA Machine Learning Intelligence is a...
לצפיה בפרטי המשרה
צמצםסקירה כללית
Group 8 Security Solutions Inc, DBA Machine Learning Intelligence is a financial technology and capital markets research company offering computational finance engineering as applied to buy side retail and institutional segments. Quantitative strategies, risk models, research tools with advanced functionalities, that allow traders and investors to participate and invest across all markets and make better decisions in following changes across asset classes, market shock and risk. Empowering private investors to diversify from PE, VC, RE and other industries to follow markets accurately without the fear of taking part of a non traditional industry. Supporting the capital markets toward better performance through regulation and transparency. Emphasizing the liquidity available in the capital markets over other traditional industries. Our goal is to open doors to accredited and non accredited investors by creating collaboration between retail segments, institutions, quantitative developers, strategy managers, and academics; Connecting data, analytics, implementation and application with a focus on performance, risk management and account control. Quantitative strategies that can be delivered in a variety of ways, often with lower capital requirements. With a focus on regulation and compliance, we aim to explore all possibilities on the table and offer investors access to better science. We aim to offer proprietary data, analytics, and feeds, standard market data, visualization and most importantly, direct access to state of the art quantitative strategy development built by the top engineers, statisticians, professors and managers. Beyond education to interpretation, beyond interpretation to application, beyond application to performance.
We are in search of a Start-up Business Development Manager (Performance Based) with knowledge of Israeli and other markets; The BDM should have previous experience in building start-ups, prsoecting B2B and B2C clients for a variety of different kinds of technology companies.
Our company is looking for a sales expert, with high level domain expertise in selling and representing software based solutions, in our case SaaS web based solutions for our clients;
We have developed a platform that allows global users to keep track of a variety of critical market data that is relevant to both retail and institutional investors, traders, academics, and quantitative developers;
As an expert in representing similar platforms, online or software based, ideally, you are an influencer with a large network that understands the process of client acquisition;
Our online based solutions are low cost, and you understand the value in representing a platform with low cost solutions for our subscribers;
Compensation: Performance based
Process – Acquisition target of up to 1000 monthly or yearly subscribers per month, or up to 12000 per year; Recurring or non recurring, with direct compensation of 10% of the monthly revenue;
Salary range MINIMUM: $3000-36000 USD monthly or more depending on the combination of monthly or yearly clients, and recurring revenues and number of acquired clients per month; 12000 recurring monthly clients would equal to a compensation of $36.000/month; 12000 yearly clients would equal to a compensation of $32.333/month; Calculations are in USD values as subscription cost is also calculated in USD;
Additional compensation: Bonuses based on performance, base salary at later stages plus revenue sharing;
This is a project based role where salary is directly based on performance. It requires an advanced manager with a large network that is able to tap into it, and acquire clients with a target. Since clients are recurring so is the salary. Meaning if you decide to pause working after a year you continue to receive your salary based on the recurring amount and all work performed creates LONG term value.
Agreement Type: Independent Contractor
Recurring revenues: as recurring revenues increase, so does your performance based salary; all new recurring revenue represents a salary increase in addition of previous month recurring revenue;
Work Schedule: flexible, part time or full time depending on abilities;
Work Place: Remote
Payment schedule: End of month
Payment Method: Paypal (Primary merchant), or wire transfer where applicableResponsibilities:
Engage with a variety of global clients and present the platform
Ability to understand all aspects of consumer/retail grade tools as well as some aspects of institutional grade tools;
Collect information from clients, present brochures, follow up with clients and keep track of prospects;
Instruct prospects how to subscribe to the company's services
Ability to understand online payment processing systems
Highly organized, capable of working on multiple projects at once
Must be familiar with Google spread sheets and other data entry tools
Minimum University or College Graduation required with a preference of a Masters Degree or PhD
Highly organized, capable of working on multiple projects at onceImportant to have: Advanced knowledge of international financial markets such as asset allocation, equity ratings, macroeconomic conditions, quantitative and algorithmic trading, retail and institutional brokerages, investment management, macroeconomic forecasts, capital market assumptions and outlook, as well as overall fundamental and technical research and ability to identify prospects in search for our research; understanding of local brokers and investment mangers, wealth managers, RIA's and others based on each jurisdiction; strong understanding of risk across all asset classes, across local and international instruments;
Good to have: Brokerage accounts with multiple institutions for a clear understanding of local offering, such as local market data, investment research and other offerings; a track record of either having participated, or currently participating in short term, medium term, long term investments in public markets; knowledge of a variety of instruments such as futures, options, derivatives;
Also good to have: certifications such as CFA, CFP, CIM, RFP, FMVA, CAIA, CPA, FRM and former or current work experience in the investment management field at both the institutional level as well as the retail level;
Follow us on Linkedin:https://www.linkedin.com/company/mlearningintelligence/
Follow us on Twitter: https://twitter.com/MLearningInt
Follow us on Youtube: https://www.youtube.com/@machinelearningintelligence
Subscribe to Linkedin News Letter: https://www.linkedin.com/newsletters/weekly-capital-markets-7011181184370036736
Visit platform: https://machinelearningintelligence.com
Register for the platform for free: https://machinelearningintelligence.com/register
Go over our solutions sheet:https://mlearningintelligence.blob.core.windows.net/machinelearning/mli.pdfPlease register and review the platform (for free) before your interview, as well as review the FAQ and solutions sheet in order to fully understand the nature of our company.
Eucation: completion of any of the programs below would be an asset:
Princeton University (Bendheim Center for Finance)
Master in Finance
Baruch College, City University of New York
Master of Science in Financial Engineering
University of California Berkeley (Haas School of Business)
Master of Financial Engineering
Paris-Sorbonne University/Ecole Polytechnique
Master’s in Probability and Finance
Imperial College London
MSc in Mathematics and Finance
North Carolina State University
Master’s in Financial Mathematics
Cornell University
Master in Engineering with Financial Engineering Concentration
Carnegie Mellon University
Master of Science in Computational Finance
University of California, Los Angeles (Anderson School of Management)
Master of Financial Engineering
Columbia University (Columbia Engineering)
MS in Financial Engineering
Johns Hopkins University
Master’s in Financial Mathematics
New York University (Courant Institute of Mathematical Sciences)
MS in Mathematics in Finance
ETH Zurich/University of Zurich
Master of Science in Quantitative Finance
Columbia University
Master of Arts in Mathematics of Finance
New York University (Tandon School of Engineering)
MS in Financial Engineering
Georgia Institute of Technology
Master of Science in Quantitative and Computational Finance
Fordham University (Gabelli School of Business)
Master of Science in Quantitative Finance
University of Toronto
Master of Mathematical Finance
University of Oxford
MSc in Mathematical and Computational Finance
Stony Brook University
Quantitative Finance MS
Paris-Diderot University
M2 Random Modelling, Finance and Data Science
University of Washington
MS Computational Finance and Risk Management
Boston University (Questrom School of Business)
MS in Mathematical Finance & Financial Technology
Rutgers University
Master’s in Mathematical Finance
Rutgers University
Master’s in Financial Statistics and Risk Management
City, University of London (Bayes Business School)
Financial Mathematics MSc; Mathematical Trading and Finance MSc; Quantitative Finance MSc
City University of Hong Kong
MSc Financial Engineering
Erasmus University Rotterdam
Master’s in Quantitative Finance
KU Leuven
Master of Science in Actuarial and Financial Engineering
King’s College London
Financial Mathematics MSc
Lehigh University
MS in Financial Engineering
Technical University of Munich
Master’s in Mathematical Finance and Actuarial Science
University of Chicago
Master in Financial Mathematics
University College London
Computational Finance MSc
University College London
Financial Risk Management MSc
