Systems are the infrastructure that holds the investment process together. Algorithms, software & hardware are the machinery in this manufacturing process; data are the raw materials. The technology ensures the investment process is transparent, measurable, improvable, repeatable, streamlined, and scalable.
Created, modeled, bought, sold, negotiated contracts, managed, distributed, educated & trained, built investment models & systems, and managed assets with investment, risk, research, big, unstructured, news & market data; extensive investment, security master, corporate actions, fundamental, macro, market, risk, research, multi frequency, news sentiment/analytics, big data experience.
Crowther Investment has analysis and project management experience with data and software in most phases of the equity, fixed income, and derivative investment process, and systems development life cycle. Efforts we can lead and facilitate include:
Full SDLC methodology: requirements, design, development, testing, UAT, training, documentation, roll out, marketing
Project planning, initiation and management consulting
Business analysis and requirements gathering & definition, Investment Subject Matter Expertise (SME)
Software, market, research & reference data selection
Project management, product management, systems integration
Statistical & decision support software implementation
Relational vs time series database usage
High frequency and varying periodicity data
Translate news into analytics, ranks, scores, and signal for quantitative models (news analytics/news sentiment)
Intelligent text & news; searching, reading, parsing, elementizing, coding, sentiment, relevance, logical, and inference processes, Data Science, Natural Language Processing (NLP), machine learning, Unstructured (Big) Data, FinTech