Code Willing Enters into Strategic Partnership with Phitopolis

Code Willing and Phitopolis partner up to bring the best financial data management technology and market data feed handlers. to clients all over the world.

Code Willing, a leading financial data management service in the fintech industry, announced today that it has formed a partnership with Phitopolis, a high-end technology company located in the Philippines, to assist in the software development process and to extend the global reach of Code Willing’s data services.

According to Code Willing, the duo has already successfully completed several proofs-of-concept that will enable Code Willing to utilize the latest technology to deliver better results to clients from their data services. The company further explained:


This allows Code Willing’s existing and future clients to leverage the improved performance of our services. They will get reliable results so that they can continue to focus on building strategies and trading.”


Code Willing also noted that the partnership aims to deliver the best-of-breed hardware and software solutions to clients that need market-leading latency and performance as well as global scale and coverage from their latency-sensitive trading applications. The two companies will work together to identify opportunities to bring the technology to market through Code Willing’s range of data management services, market data feed handlers and analysis tools. While sharing more details about the partnership, Mark Walbaum, Chief Technology Officer and Co-Founder of Phitopolis, stated: 


This partnership with Code Willing aligns with our strategy to provide the latest and greatest technology to users all over the world. We are focused on providing developmental and operational support to Code Willing. We have an experienced and talented team so that Code Willing can reach new heights.”


Baron Davis, CEO of Code Willing added:


We are delighted to be working with Phitopolis as Code Willing continues to focus on providing clients with flexible and transparent high-performance solutions for their latency-sensitive trading strategies. Leveraging Phitopolis’ multi-talented team to accelerate and enhance Code Willing’s data management offering is only the first step. We expect that this partnership will be the first of many opportunities to further enhance the data services being delivered to Code Willing clients.”


About Code Willing

Code Willing is a leader in data management solutions for the financial industry. Built on 20+ years of experience in fintech and trading, Code Willing offers data management services, cloud analysis tools, low latency market data feed handlers and scalable high-performance file storage. For more information, please visit www.codewilling.com. Follow on Twitter @codewilling.


About Phitopolis

Phitopolis enables financial companies to evaluate and run multiple Big Data solutions quickly, simply, reliably, securely and cost-effectively. Phitopolis is committed to delivering purpose-built Big Data solutions and services for the management and integration of commercial and proprietary technologies across multiple platforms. For more information, please visit www.phitopolis.com.

The 3 Most Common Data Management Challenges in the Financial Industry

Financial institutions look to grow their revenue by reducing risk, cutting costs, and making wise business decisions. Business decisions increasingly rely upon volumes of data which can pose serious production challenges in areas including data ingestion, data quality, and data production.

Production Challenges

If these problems are not overcome, they will become detrimental to your business by unnecessarily wasting time, man-power and money.

1. Manual Data Ingestion

It can be difficult and time-consuming to track and ingest so much data from so many vendors. Leveraging an automated approach can help re-focus your efforts towards strategy and trading if much of your organization’s time and resources are committed to this. Thoroughly tested extract-transform-load (ETL) pipelines managed by an experienced operations team coupled with meaningful and well-laid-out dashboards make data ingestion easy providing your team with confidence and a strong foundation necessary to build a performant data analytics system.

2. Poor Data Quality

Not having the proper analytics is like steering a ship blind. Poor data quality is just as bad if not worse. If you cannot rely on your data for accuracy then you will not be able to rely on your forecasts drawn from that data. Data quality should be built into the data production pipeline early rather than later so issues can be found, marked and fixed before production data sets are built.

Cleaning data draws focus away from prime goals. Usage of machine learning and other statistical approaches can put your team back in the business of trading confidently knowing that your data is of the highest quality.

3. Slow Data Production

Many financial firms are still working with legacy software that is not geared for today’s data volume. Processing large data volumes quickly will require new techniques such as:

  • Parallelization across many nodes
  • Vectorized processing
  • Distributed file systems
  • Efficient file formats such as Parquet and HDF
  • Pattern-based (machine learning) and statistical algorithmic approaches
  • GPU and other SIMD techniques

It will be difficult to keep up with increased volume, variability and breadth of data in the future if these techniques are not implemented.

The Outcome for Financial Firms

If these challenges are not met, financial firms will experience inefficiencies during all phases of their ETL. Problems that arise from manual data ingestion will only be exacerbated by a slow production pipeline. Without advanced customized software, your data will be of lower quality, more difficult to maintain and contain less actionable insights. Without better reliable data quality processing, you won’t be able to detect anomalies. All of this together produces bad data and leads to higher data management costs, increased risk and ultimately revenue loss.

This is definitely not the desired outcome, but it is not easy to adapt to an ever-changing technology landscape. Most financial firms do not have the man-power, time or resources to easily address these issues. That is why there are third-party companies that exist who have already solved these problems.

Third-Party Data Management Solution

Technology and the financial industry landscape are evolving quickly making it difficult to keep up with while maintaining your core business. With the help from a financial data management company, one with a proven track record and decades of experience such as Code Willing, you can stop fighting with your data and start leveraging it.

Only a few fintech firms provide end-to-end management of data production resources at this time but with more on the rise. They have a staff of Data Scientists, Data Experts and DevOps engineers that have experience ingesting cleaning, organizing, building and cross-referencing financial data sets from many vendors. Some have already developed complete solutions to these common data management problems and can help jump-start your technology and workflows into the future right now allowing your team to spend less time on administrative tasks and more time closing deals.

End-to-end financial data management firms can ensure a high-quality data product complete with analytical dashboards to provide insight into data content and the tools necessary to allow your team to extract targeted data allowing for decisions to be made that reduce risk, lower costs and increase revenue.

The data revolution is here and is firmly rooted in the financial industry. Data will increase in volume, variability, and complexity stressing ETL pipelines. Both data quality and processing speed will become more important and more difficult to handle requiring an experienced team of specialized data, coding and operation engineers to solve.

With the right fintech team working for you, your firm can overcome common data management challenges, become more efficient and gain an edge over the competition.

MIT Students Leverage Code Willing Technology for Quantitative Finance Research Project

MIT utilizes Code Willing for Research

Code Willing is working with the academic sector to advance research in the field of Quantitative Finance.

Quantbot Technologies LP, a global quantitative hedge fund and Code Willing client, is constantly looking for new research opportunities and partnerships but is often restricted due to the highly proprietary nature of their work. With Code Willing managing the Quantbot data and cloud infrastructure, it enables Quantbot to engage external research teams via consulting arrangements. Through the use of the Code Willing technology suite, Quantbot can provide tightly controlled access to clean data and the virtually unlimited resources of cloud computing infrastructure.

Recently, Quantbot worked with several student groups participating in a month-long MIT Sloan 2019 Finance Research Practicum course. The students performed real research for Quantbot in a secure environment running on Amazon AWS with strictly controlled access to the clean datasets they needed.


Without the Code Willing platform there’s really no way we would have been able to host these projects. Now we have the ability to run almost limitless amounts of additional research projects with no risk of impact to our internal systems.”

– Paul White, President and CTO of Quantbot

 

Hugh Alexander Joins Code Willing as Chief Technology Officer

Hugh Alexander is CTO of Code Willing.

Code Willing, an independent global provider of quantitative research and trading solutions, has announced that Hugh Alexander has joined the company as Chief Technology Officer (CTO). Hugh will draw upon his extensive expertise in the financial information and technology industry to drive the continued global growth of Code Willing.

Hugh brings a wealth of knowledge about designing stable, cost effective infrastructures for efficiently managing the raw materials that quantitative research and trading requires.


Hugh Alexander’s experience and background leading teams of quantitative researchers and traders will ensure that Code Willing continues to lead the market in developing quantitative tools that improve decision-making, analytics and trading decisions of our customers.”

– Baron Davis, CEO Code Willing


Hugh has been successfully building quantitative trading tools and platforms since 2004, where he served as Managing Director and Chief Operations Officer for a very successful quantitative trading desk at one of Wall Street’s largest banks. Hired in 1996, his prior roles were as VP/ED in the technology organization leading their time series engineering and real time market data development teams.  

Hugh commented, “It’s an exciting time for financial data analysis that can take advantage of the almost infinite scale of cloud hosted processing and storage. Code Willing has a very unique product suite that is tailored for the quantitative trading team enabling them to focus on what they want to: Quantitative Research and Trading. Code Willing’s technology is an essential foundation for successful trading decisions driven by quantitative methods. I am thrilled to be able to lead the technology talent at Code Willing and guide the continued development of their platform into a world class product.”