Algorithmic Trading · Algorithmic PM · Algorithmic Risks · Algorithmic Sales · Algorithmic Advisor
SW has built from scratch the next gen of investment platforms upon 20+ years of internationally recognized disruptive experience: custom strats beyond standard off-the-shelf suites
SW's platform pivots upon a multi-awarded Trading-Floor-aaS, cloud agnostic, that includes a marketplace to securely combine models across vendors within a strategy, a friendly algorithmic control by non-coders, a virtual reality calibration, and a number of crucial features for the risk management department to prove regulators they keep up with the change. All, within a context of cyber security by design.
This is, as opposed to most FinTechs, that focus on UX to innovate Retail & SME banking platforms, SW has especialized in the most complex challenge in Finance: the markets. Why? By definition, the most suited platform for next gen Finance cannot be designed upon the most basic side of the banking system.
SW has entirely built, in-house, and without external dependencies, a core engine to simulate, price-in, take and manage risks of any kind - from assets to SMEs and Retail. In that order - i.e. SW is ultimately evolving the industry by moving banks from "Retail & CIB" to "Retail upon CIB". Breakthroughs in Finance cannot happen without vertically integrating these two, now independent, units.
SW's clients activate passive funds with smart take profits and stop losses; create central risk books to internalize risks; generate synthetic liquidity to boost ESG products; blend hedging with buy side technology; pioneer active loan portfolio management (Retail, SMEs & Corporate) through algo trading methodologies, etc.
Other domains, from cyber security to marketing, are being exploited by SW's sisters - see section here.
A) SW's co-founders are highly regarded pioneers in Algorithmic Finance. Before SW, they worked at different trading desks across assets and tier one agents, where they early took the responsibility of algorithmic transformation as intrapreneurs. In parallel, they pursued some of the first research on Financial Machine Learning at highly regarded universities, tackling some of the most complex algorithmic strategies. This privileged experience has allowed SW to reach a technological stage that surpasses that of many long-established providers at a fraction of their time and of their human resources. Learning Machines to boost Machine Learning.
B) When you are a sound pioneer building or boosting algorithmic trading businesses, and you unveil what you have done - which is not always the case -, you get to receive industry and academic recognition. So far, Banking Technology Awards, UK EPSRC, UK Digital Economy Networks and CogX 2020 have prized our founders' innovation in Trading Tech, Digital Economy Impact, Machine Learning Innovation, and Simulation Innovation along their careers (both pre and post SW).
C) When industry and academia know you for pushing the Frontier of Knowledge in Finance, you get to be directly approached by tier one investment banks, tier one hedge funds, tier one retail banks, supranational entities, start ups (from well-known to pre-seed) and economy ministries (Asia and Europe). SW has helped them solve idiosyncratic challenges as well as industry-wide ones. Additionally, this privilege provides SW with a benchmarked understanding of each client that definitely lets it help them more insightfully.
More subtly, yet crucial, SW tech allows for the algorithmic flexibility that tier one talent asks for. Hence, its usage not only can attract the best professionals but also, reduce their rotation in the client - both major assets within the span of competitive advantages.
SW's platform is delivered in the shape of a market place for micro-services/apps around a very special engine of digital strategies - commercially called SW FRACTAL ®. APIs for third parties' services can be provided ad-hoc.
SW FRACTAL ® gives control back to the expert - a game changer feature in this new Era that unlocks business impact from change resistance. Game Theory is largely present in the platform to ease transformation.
SW offers financial experts a friendly onboarding that includes predefined settings. Additionally, the advanced user can freely inject code, configure and optimize the rest of parameters.
SW believes in the freedom of its clients to evolve their businesses within the platform independently. Hence, SW's platform is focused on detaching your strategies growth from your market access providers - exploiting synergies and being able to switch them for different needs- and leveraging open source advances.
Teaming up is strictly better than going solo to solve a problem. SW listens carefully. SW chases relentlessly.
The lower SW's upfront cost, the more clients can exploit the platform, independently of which department is in vogue at any point in time, budget-wise. It is important to stick by the client steadily, no matter its budget's dynamics. For that, SW not only minimizes upfront fees and focuses on revenue sharing but it has also self-imposed a culture of cost-conscious growth - the clients shall not be paying for confusing KPIs like oversized teams or over-expensive offices.
On one hand, because it is crucial for any agent to be able to compete in prices. By mastering the state-of-the-art in Risk Management not only the best quotes can be posted in the markets but also in credit products to SMEs and retail - which ultimately revert into society.
And society matters.
And on the other hand, because right now the competition is confusely focused on UX. Digitization has brought Silicon Valley into Finance. It has added value and triggered the change. But it has not really reached any transformational breakthrough. It is time to go back to Wall Street's style and diferentiate oneself armed with the next gen of Risk Management tools.
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"THE QUESTION IS NOT: WHAT CAN SW DO? THE QUESTION IS: WHAT CAN'T SW DO?"
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