Career Opportunities at CloudQuant

CloudQuant is an open and collaborative research environment and is seeking individuals with a strong entrepreneurial spirit, exceptional work ethic, and strong analytical skills to implement trading strategies, and help us build our business. We are a diverse, energetic, work hard/play hard environment. Our hope is to find individuals hoping for a technical career adventure.

The firm provides cutting-edge data science tools, investment capital, high-performance elastic research infrastructure ideal for machine learning and other sophisticated modeling methodologies.

We provide tick data, fundamental datasets, sentiment data, alternative datasets as well as state-of-the-art trade execution tools through its proprietary collocated trading engines, and trading software stack.

Posts

Jessica Titlebaum Darmoni, Founder of The Title Connection

The Future of FinTech is Female

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FinTech Women (FTW) had their launch event at Morningstar on Monday, December 11 in an effort to bring together experienced women in the financial technology space and highlight their achievements.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 11, 2017

Hedge funds embrace machine learning—up to a point

ARTIFICIAL intelligence (AI) has already changed some activities, including parts of finance like fraud prevention, but not yet fund management and stock-picking. That seems odd: machine learning, a subset of AI that excels at finding patterns and making predictions using reams of data, looks like an ideal tool for the business. Yet well-established “quant” hedge funds in London or New York are often sniffy about its potential. In San Francisco, however, where machine learning is so much part of the furniture the term features unexplained on roadside billboards, a cluster of upstart hedge funds has sprung up in order to exploit these techniques. These new hedgies are modest enough to concede some of their competitors’ points. Babak Hodjat, co-founder of Sentient Technologies, an AI startup with a hedge-fund arm, says that, left to their own devices, machine-learning techniques are prone to “overfit”, ie, to finding peculiar patterns in the specific data they are trained on that do not hold up in the wider world. This is especially true of financial data, … 2017-12-09: https://www.economist.com/news/finance-and-economics/21732147-investing-more-artificial-intelligence-need-not-mean-less-human CloudQuant Thoughts: Traditional hedge fund managers may be concerned with AI and machine learning. CloudQuant embraces it. We have found that the CrowdSourcing model allows for new talent to join in the research activities. A thousand researchers with access to industrial grade historical market data, backtesting tools, and alternative data can discover new ways of trading that a traditional quant at a hedge fund may not see. Our record of allocations demonstrates that this is working well for us.

Demand for AI Talent Turns Once-Staid Conference Into Draft Day

Actors in robot costumes stood in the lobby of the Westin hotel in Long Beach, California on Sunday night, “Intel Inside” stickers displayed on their foam torsos. People posed for selfies before heading to an upstairs ballroom, decorated with neon purple lighting and plush white leather furniture, for an event that was more party than technology panel discussion. This was one of many attempts by Intel Corp. and other giant corporations to curry favor with artificial-intelligence researchers attending one of the world’s biggest AI conferences, turning what was once an academic event into a recruiting frenzy more akin to the National Football League’s draft day. Tech companies are increasingly competing with one another, as well as banks and hedge funds, to hire experts in AI techniques like neural networking, a kind of machine learning loosely based on how the human brain works. These are the skills behind recent advances in computers’ ability to identify objects in images, translate languages, drive cars and spot financial fraud. More changes are in store for many industries and conferences like this week’s one on Neural Information Processing Systems, aka NIPS, are where … 2017-12-06: https://www.bloomberg.com/news/articles/2017-12-06/demand-for-ai-talent-turns-once-staid-conference-into-draft-day CloudQuant Thoughts: It is fun seeing financial firms mentioned alongside the technology firms that you typically expect to see in a conference like this. Anyone in trading will fully understand that trading firms have been very technology-centric for the past decade. The introduction of Machine Learning, Deep Neural Network, and applied AI into the FINTECH discussions, and the recruiting process is not surprising.

This Harvard PhD’s AI Startup Aims to Help Analysts Triple Coverage

…After applying his machine learning programs to central bank policy statements to churn out trading calls, a hedge fund-backed political economy specialist is aiming his sights on corporate earnings announcements. Evan Schnidman, a 31-year-old who set up his own firm after a Harvard University PhD dissertation that looked at the Federal Reserve’s communications, is hoping the approach that lured $3.3 million in a fund-raising roun… 2017-12-11 00:00:00 https://www.bloomberg.com/news/articles/2017-12-11/harvard-phd-s-ai-startup-aims-to-help-analysts-triple-coverage CloudQuant Thoughts: The article ends with “Demand for data scientists and machine-learning professionals in finance ‘far exceeds the current supply,‘” We see that many universities and programs are gearing up to meet this demand. Those that want to learn and practice skills are always welcome to grow their data science and machine-learning skills on our CloudQuant platform.

3 Questions with Dr. Sean Wise of Ryerson Futures Seed Fund

…inancing round. What do you believe the next major innovation in financial technology will be and why? I believe the next major innovation in financial technology will be the wide integration of AI/Machine Learning into customer service chat-bots. The majority of customer service queries are mundane and routine (e.g. I lost my PIN what do I do). This is just an awful job for humans and outsourcing to developing nations has not solved it. Chatbots offer an exponentially better more scalable solution to better customer service. The volume of queries, the routineness of such and the current level of semantic … 2017-12-10 14:05:55-05:00 http://finteknews.com/3-questions-dr-sean-wise-ryerson-futures-seed-fund/ CloudQuant Thoughts: Fintek News interviewed our CEO prior to chatting with Dr. Wise. You can find and compare answers from Dr. Wise with Morgan Slade’s answers by reviewing our earlier inteview at http://finteknews.com/3-questions-john-morgan-slade-cloudquant/

Hedge fund managers embrace innovation amid industry challenges and increased competition

…gin pressures by investing in technology. Forty per cent say they plan to invest in automating manual processes and more than a quarter of managers (27 per cent) have or will be making investments in artificial intelligence and robotics to strengthen their middle and back office. Zeynep Meric-Smith, EMEIA Leader, Hedge Fund Services, Ernst & Youn, says: “Managers with growing businesses will often need to add to their headcount to support the business, but modern advances in technology provide helpful solutions in supporting operating models that add to the bottom line, rather than reduce it.” The need for tec… 2017-12-08 00:00:00 http://www.hedgeweek.com/2017/12/08/259158/hedge-fund-managers-embrace-innovation-amid-industry-challenges-and-increased CloudQuant Thoughts: In this article it says “Investors are looking for managers who can effectively implement next generation data to gain an advantage, according to the survey. Managers are beginning to notice that effective use of data is a key advantage,” CloudQuant firmly believes this. Our crowd researchers are finding alpha in new ways, using new data sets. We believe that our experience is indicative for the future of most investment managers and traders.

Big data solutions to take a bite out of fraud

…nd harnessing the massive quantities of data produced each day, companies hope to uncover potential fraud as it occurs. The most optimistic believe that the predictive capabilities of big data-driven artificial intelligence may someday end online crime altogether. That may well come to pass, but it will be an uphill climb. The current state of affairs The internet represents an ever-larger portion of global retail sales each year. Estimates indicate that e-commerce transactions alone will reach $2.3 trillion dollars this year. Digital platforms also generate enormous amounts of advertising revenue and related busi… 2017-12-08 11:00:34+00:00 http://bigdata-madesimple.com/big-data-solutions-to-take-a-bite-out-of-fraud/#Comment CloudQuant Thoughts: This is another article in the trend of articles talking about using AI, ML, and evolving computer tools and techniques to detect fraud. We recently posted on our blog about these tools and techniques related to Algos and Ethics.  The FINTECH & REGTECH industries have been rather busy in applying AI/ML to fraud. Here are some actions and innovations that we have seen in the world of electronic trading covering regulators and vendors. AI, Algo Trading and the Regulators and Watchdogs AI, Algo Trading, and the Innovative Firms
  • Vertex Analytics with their amazing ability to see patterns in the market data and highlight cheaters.
  • Trading Technologies’ Neurensic product that uses machine learning to catch spoofers, front-runners, layering, pump and dump, and more forms of illegal trading.
  • Edge Financial Technologies and their KillSwitchPlus tool that catches run away algos and limit breaches at the time of the order.
  • Catelas with its surveillance ability to catch collusion between traders or inappropriate use of insider data.

5 Scary Things That Won’t Crash the Market in Next 5 Years

…o the CFA Institute highlighted 5 disruptive forces influencing the future of global investing. I think these forces are vitally important, but will not “crash” the market in the next five years: 1. Artificial intelligence, big data and machine learning will be disruptive forces, but humans will still play an important role in providing investment management and financial advice. Quantitative algorithms are increasingly used to identify past patterns and subtle trends in large sets of data. Quantitative models may be superior to humans in looking through the rearview mirror, but humans still may be better equipped … 2017-12-04 00:00:00 http://techcenter.thinkadvisor.com/2017/12/04/5-scary-things-that-wont-crash-the-market-in-next?ref=hp-blogs CloudQuant Thoughts: We don’t consider big data, AI, or machine learning to be scary. We also agree that we don’t believe that this will be the direct cause of any future market crash.

The Computer That Saved a Vineyard

… fire. He hosed down embers as they flew off the frame. Yet the winery survived the worst disaster in the history of California’s wine country unscathed, because Palmaz wasn’t alone, exactly. He had artificial intelligence on his side. Palmaz Vineyards’ winemaking takes place in an engineered maze of tunnels and domes carved into rock at the base of Napa’s Mount George. Source: Palmaz Vineyards Felix is the nickname for the Fermentation Intelligence Logic Control System (Filcs), software Palmaz engineered to analyze and, eventually, help micromanage the vineyard’s 36 winemaking tanks. Using technology developed b… 2017-12-06 00:00:00 https://www.bloomberg.com/news/articles/2017-12-06/the-computer-that-saved-a-vineyard CloudQuant Thoughts: We will drink to that! We may need to order a case or two for our Holiday party. You can find the vineyard at https://www.palmazvineyards.com/

Microsoft doubles down on its ‘AI for Earth’ initiative, pledging $50M at Paris climate event

…Microsoft today pledged $50 million over five years for an initiative to use artificial intelligence to tackle the world’s most pressing environmental issues. Microsoft President and Chief Legal Officer Brad Smith will detail the company’s commitment to the program, known as AI for Earth, at the One Planet Summit in Paris later today. Started earlier this year, AI for Earth aims to put Microsoft’s vast AI resources in the hands of universities, non-governmental organizations and other groups to… 2017-12-11 11:01:28+00:00 https://www.geekwire.com/2017/microsoft-doubles-ai-earth-initiative-pledging-50m-paris-climate-event/ CloudQuant Thoughts: Private industry is taking initiative and leadership using AI to solve an issue that many are concerned with globally. Nice move Microsoft.

What Does Your Cloud Data Look Like? QuantHouse Is Moving Historical Data On-demand To The Cloud

… also looking at the metadata space. Firms can now take their own trading information and identify better performance strategies for traders, or weed out problems with a particular strategy. Layer in artificial intelligence and machine learning tools and you can see the potential for firms and another phase of competition. QuantHouse moved to bolster its overall service offering with the acquisition of Victory Networks in September, giving it further reach in the high speed network space, especially for hedge funds and asset managers. Feligioni believes his firm is now well positioned for that client base which is … 2017-12-08 00:48:00+00:00 http://www.johnlothiannews.com/2017/12/cloud-data-look-like-quanthouse-moving-cloud/ CloudQuant Thoughts: Nice move QuantHouse. We like what you are doing. We also find that the cloud’s power for computing cycles provides a major opportunity for the industy.

Nasa to hold major announcement after artificial intelligence makes major planet-hunting breakthrough

…ly relate to exoplanets – Earth-sized worlds that orbit around their own stars, and are our best hope of finding alien life. The space agency said that the discovery was made with the help of Google artificial intelligence, which is being used to analyse the data sent down by the telescope. By using machine learning provided by the tech giant, Nasa hopes that it can pick through the possible planets more quickly and hopefully find life-supporting planets sooner. Nasa said that four engineers and scientists would take part in the session. They include Paul Hertz, who leads Nasa’s astrophysics division, a senior Goo… 2017-12-11 08:53:56+00:00 http://www.independent.co.uk/life-style/gadgets-and-tech/news/nasa-announcement-today-latest-kepler-breakthrough-google-ai-artificial-intelligence-a8102966.html CloudQuant Thoughts: We already knew that machine learning is “Out of this world” but this just proves the point.

Apple’s AI Chief Reveals Fresh Details About The Car Project

…researchers to share their work – primarily related to the car project – with the wider scientific community. Apple car project: It can detect objects hidden behind parked cars Speaking at the NIPS machine learning conference (via Wired), Apple’s AI director Ruslan Salakhutdinov provided some previously unpublicized details about the self-driving car technology. He offered a sneak peek into how Apple is using artificial intelligence and machine learning to detect pedestrians and make autonomous driving safer. More than 8,000 people attended the NIPS conference. He demonstrated a system that can identify ob… 2017-12-11 06:43:07-05:00 http://www.valuewalk.com/2017/12/apple-car-project-ruslan-salakhutdinov/#disqus_thread CloudQuant Thoughts: The trend is to be more open with technology. We see it in open source and crowdsourcing. Apple, with a very loyal community of users, always has a great opportunity to be a thought leader and not just an innovation leader. We like seeing them be more open.

Quantitative Brokers Appoints Ralf Roth as CEO

…ch he will join. Roth will begin as CEO effective December 18th. “After a comprehensive search process, we are thrilled to appoint Ralf Roth as CEO. Ralf brings strong leadership and experience with machine learning and cloud computing that will help us scale and expand on the innovation that defines QB in the market,” said Christian Hauff, Co-Founder and outgoing CEO of Quantitative Brokers. Hauff will continue on as a member of QB’s Board and Executive Committee and will oversee the firm’s client and industry relationships. “Ralf is very well placed to succeed me in the role of CEO and I look forward to as… 2017-12-08 00:00:00 http://www.bobsguide.com/guide/news/2017/Dec/8/quantitative-brokers-appoints-ralf-roth-as-ceo/

Google’s AI teaches itself chess in 4 hours, then convincingly defeats Stockfish

…There has just been a revolutionary development in the world of AI, and in the world of chess. Google’s Artificial Intelligence project, DeepMind explains they’re on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. A little over a year ago, DeepMind released AlphaGo, which sensationally defeated the world champion of the famously CPU unfriendly ancient Chinese game, GO. Now their AlphaZero program has kicked up a storm in … 2017-12-09 17:16:47+00:00 http://trove42.com/google-ai-teaches-itself-chess-defeats-stockfish/ CloudQuant Thoughts: Why does everyone want to play chess with AI and Machine Learning? We want to see some Machine Learning project team take on Settler Of Catan!

CityBldr raises cash, prepares to expand to California with software that reveals hidden real estate value – GeekWire

…icer at Touchstone earlier this year. Initially, CityBldr was focused on residential properties but now has expanded its service to cover nearly all types of real estate. “What we’ve learned is our machine learning algorithm doesn’t care if its a house, or an apartment, or a gas station, or a vacant parcel of land, or a commercial building, or an office building … it doesn’t care at all,” Copley said. “It just sees that there’s opportunity in that land and it predicts the highest and best use of that land.” CityBldr is hoping to hire a team of about seven in Los Angeles and bring on an additional 15 to 20 … 2017-12-07 23:47:18+00:00 https://www.geekwire.com/2017/citybldr-raises-cash-prepares-expand-software-reveals-hidden-real-estate-value-california/ CloudQuant Thoughts: In Chicago, there is the unused old post office. The building is huge and spans a highway that most people in the western suburbs use. We wonder what CityBldr would recommend to the Chicago mayor about this building?
J. Tayloe Draughon

CloudQuant Hires Industry Veteran To Influence and Accelerate Crowd-Sourced Licensing Model

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Tayloe Draughon has joined the management team as Senior Product Manager. He is a specialist in FINTECH and electronic trading product management.
Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence News for the week ending September 25, 2017

Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science…
Morgan Slade, Python Data Scientist and Trader

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity

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“You have a chance to try and change an industry” said Slade, CEO of CloudQuant at the MarketsWiki Education’s World of Opportunity event in New York.
Algo developer getting paid

Why the top jobs in finance will go to gig workers

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eFinancial Careers reported on the Battle of the Quants meeting in June 2017.  The article quotes CloudQuant CEO Morgan Slade in discussing opportunities to be paid by becoming a crowdsourcing algorithmic trading developer.   Quantitative research and data science applied to create trading strategies Morgan Slade, the CEO of CloudQuant, formerly with Merrill Lynch and Citadel, said they officially put their website up publicly six months ago and now researchers in 70 different countries are using it already. He sees this crowdsourced development model as an opportunity for students, recent graduates and career-changers alike. “We’re tapping into the new skills coming out of educational institutions and students’ and graduates’ new ways of looking at things, but there are also opportunities for experienced people to connect the dots related to the ontological relationships between the data and the stock markets and other assets,” Slade said. “There are huge untapped resources out there, and we try to engage with the researchers as if they were employees and support them as such.” Two of the freelance researchers wrote trading algorithms that were so impressive that Slade hired them as full-time portfolio managers. “We’re building [in-house] teams to support [freelance] researchers’ investment strategies, and we expect that to continue,” Slade said. “If we see people who are especially talented, then we might decide to have remote teams centered on individuals who stand out. “To be successful, they have to master a prediction step, a portfolio construction step and a trading expression step – we give researchers the chance to take a stab at portfolio construction and trade expression on their own,” he said. “We help them with things they’re not going to be good at, such as trade expression – we help them get better execution and give advice on portfolio construction if they need it. “People are spending their free time doing research, and if they weren’t getting something out of it, then they wouldn’t be engaged with our site, and there are also experienced traders who don’t have the ability to build what we have – people are eager to retain their IP, which we let them, so add it to our platform and we can both make money off of it.” Read the full article on eFinancial Careers
Algorithmic Trading with other peoples money

Skills to Become a Quantitative Trader

How do you get from being a Data Scientist, Software Engineer, or Markets Enthusiast to being a Quantitative Algo Developer? Algorithmic Trading requires both technical, and functional skills.

Overview of Core Technical Skills

Programming

Programming is the ability to express your trading ideas so that a computer can repeat the process. You need this skill to be able to code your algo. Structured backtesting is another use of your programming skills. CloudQuant uses Python, a high-level language that is easy for anyone to learn who has ever worked with any programming or macro language, like MS Excel VBA.

Simulation (BackTesting)

To test your algo you will need to test it against historical data. This is called “Backtesting.” Backtesting is more than checking to see if you made a profit or loss. It includes understanding how and why you made a profit and loss and systematically improving that algo.

Statistics

CloudQuant’s backtesting provides several reports that are full of statistics. Understanding what each of these statistics means is essential to improving your algo. Having a base understanding of statistics is also important.

Management of Risk

Order processing and trading involves risk. CloudQuant meets our regulatory required risk and our own functional requirements for pre-trade and post-trade risk management within our production trading system and our backtesting simulation tools. Understanding how risk works will help you improve your algorithm skills.

Learn more

Read the Full Post and See the training available at Experfy.com
Kershner Trading, parent of CloudQuant

Traders

Kershner Trading, CloudQuant’s parent company, is seeking new traders to join our team. From capital to automation, we provide qualified, proven US equities traders with everything they need to practice a more well-rounded and competitive trading strategy.
Python Scripts in CloudQuant's Algorithmic Trading and Quantitative Strategy Backtesting Application

Algo Developers – Entry Level

CloudQuant is THE trading strategy incubator. We’re building a free python data research tool for ordinary people with extraordinary trading ideas. We license and fund the best trading strategies and pay our users a share of the profits. Our group is a FINTECH startup housed under the umbrella of a trading firm with existing infrastructure and financial resources.
Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

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November 1, 2016

Chicago, Illinois

For Immediate Release

Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary.

CloudQuant is:

  • an educator,
  • a facilitator for traders, technologists, and data scientists
  • a technology provider,
In short, CloudQuant is the Trading Strategy Incubator which will allow the trader, software engineer, data scientist or individual with an great trading idea to receive funding for an algorithm that has been tested and proven in backtesting.

CloudQuant began as an internal trading tool for traders with extraordinary trading ideas to be able to explore quantitative trading with the evolution of data science. The technology behind our innovative approach to incubating trading strategies began as an internal system and has been proven through daily use within the Kershner Trading Group. Kershner’s experience as a trading firm focused every day on the work of operating and executing profitable quantitative trading strategies provided the trading and technology expertise to design a platform that enables researchers to go from idea to production implementation in a matter of hours.

CloudQuant’s mission is to provide you with tools to develop and prove your trading strategies. We then license your strategy from you. Once licensed we assign capital from our funds to your strategy. Our professional traders, risk managers, and technologists oversee the running of the trading strategy.

When a client’s trading strategy makes money the client will be paid.  Loses are the responsibility of CloudQuant.