According to a a McKinsey study, the US faces a shortage of 140,000 to 190,000 people with analytical expertise (people with advanced training in statistic or machine learning) and a shortage of 1.5 million managers and analysts with the skills to understand and make decisions based on data.
The Intelligence Community has addressed this problem for over 7 decades, pressed by the urgent imperative to make sense of volumes of data in the name of US National Security.
The US Intelligence Community developed methodology and software that enabled them to produce accurate, actionable data-driven insights in short periods of time. These bleeding edge methods were only recently declassified for private sector use.
Unmatched Speed. Anyone can say they have the best algorithm; however, the efficiencies of our methods are hard to match (OODA Loop framework). Our dispatch enables us immediate insights in hours.
World-Class Intelligence. From our initial planning phase right through to the dissemination of our analysis, we follow the sense-making approach matured within the US ODNI's IARPA program.
Proof. We rapidly benchmark our solution against our client's legacy KPIs to prove our predictive capability.
Return on Investment. Our approach is pegged to the ROI we generate for our clients in the private sector.
A comprehensive understanding of customer behavior is key to managing important metrics such as CAC and Churn for any consumer-focused business. CFOs and CMOs need to have actionable, operational insights into their current customers as well as the white space to grow their top line revenue efficiently.
We leverage Artificial Intelligence within a mature Intelligence Analytic Tradecraft Framework to provide you with an analysis of your customer base for targeting, acquisition and retention.
Adatos builds smart, data-driven risk models for banks, financial institutions, and Insurance companies. These smart risk models enable businesses to calibrate risk thresholds and decide their risk appetite to create an optimized portfolio with a much greater level of granularity and certainty.
Our smart risk models are able to demonstrate improved sensitivity at predicting non-performing loans, as well as the potential to increase throughput while decreasing bad rate on loan portfolios.
This product is particularly useful for clients who have the requirement of bringing together data with no unique key from different sources/geographies for analysis.
The product leverages Artificial Intelligence to apply the appropriate matching metrics and functions, and has a learning functionality that updates the matcher with user corrections. It has demonstrated an ability to match items with up to 98% accuracy with data from three disparate country markets.
Adatos Medical Imaging Solutions provide Hospitals with the ability to screen hundreds of X-ray images in minutes, significantly reducing processing costs, yet demonstrating greater accuracy than trained medical professionals.
This Artificial Intelligence application for Public Health and Preventive Medicine screening extends to Histopathology, Endocrinology, and Oncology use cases that may have a global impact on preventing the spread of communicable diseases; saving lives from debilitating and fatal chronic diseases; and improving our quality of life.
Our clients in the Financial Services sector understand the importance of adopting contrarian approaches to defend against the new wave of disruption wrought by young fintech companies with innovative approaches.
We work with clients in the Insurance sector to provide them with the competitive edge they seek in this aggressive space.
We partner with cutting edge Advisory Service Firms to bring added value to their clients who are searching for holistic, data-driven solutions.
Our valued clients in the private sector understand the urgent imperative to glean insights from data sources. Too much data, not enough analysts. Enter Adatos, with its ability to build learning machines that enhance the capabilities of your data science team, or provide them with the capability where it didn't exist before.
Adatos is a venture-backed technology company with a vision is to empower the private sector with Cognitive Machines matured within the US Intelligence Community to address risk to the National Critical Infrastructure.
The company has operations in Singapore, Japan, Hong Kong, Malaysia, Indonesia and the Philippines. Our team of dedicated data scientists and business consultant professionals provide ongoing customer support to ensure a guarantee on your investment.
We're always on the lookout for smart, talented and motivated people to join our team. Excited about getting hands-on experience in a rapidly growing, deep-tech startup? Want to play as part of a diverse, multi-cultural and ambitious technology team working on large-scale, game-changing projects ? Want to shape the future and be a part of the next wave of AI-driven innovation?
If you answered 'Yes!' to the above, you are just what we’re looking for. This is a great opportunity for you to hone your deep technology skills and work in an international setting alongside the founders of an exciting and winning startup.
★ Direct a comprehensive product strategy from product conception and definition through end of life.
★ Build and manage the AI Development teams, in a distributed environment.
★ Write compelling specs that engineers will want to work on.
★ Serve as the key interface between sales, marketing, and engineering.
★ Validate user-focused design and/or provisioning technology.
★ Ensure the success of a software product through all phases of software/solution development lifecycle.
In this role you will design, implement, test, and own a Micro-Service Architecture (MSA)-based platform using object-oriented, parallel general-purpose GPU programming, and Python services in a Linux container environment. You will work in a fast-paced environment and do everything from determining priorities and designing features, to re-architecture as necessary, to automated testing, to mentoring others. The best candidates show true end-to-end ownership.
★ Bachelor's degree in Engineering required.
★ Computer Science majors with appropriate mathematical experience will be considered.
★ Preferred: Masters in Applied Mathematics, Physics, Statistics, or Computational Linguistics .
★ 2+ years of Software experience.
★ 2+ years of Product Management experience.
★ Ability to code in Python and apply Pandas, Scikit-Learn ML libraries.
★ Working knowledge of concepts in Deep Learning, Machine Learning, and Data Science.
★ Familiar with NVIDIA CUDA parallel computing platforms and programing.
★ Familiar with Theanos, Google TensorFlow or Caffe.
★ Familiar with Spark MLlib.
★ Familiar with Docker Deployments.
★ Deep experience with product management practices.
★ Experience shipping software using agile methods and tools.
★ Experience in distributed development, working with global distributed resources.
★ Familiar with DevOps and SCRUM frameworks.
★ Demonstrated ability to deliver and stay focused in a fast-paced environment.
★ Ability to cheerfully perform under pressure, prioritize activities and manage multiple tracks simultaneously.
★ Ability to forecast the approximate benefit of a project, measure benefit once projects are launched, and factor learnings into future prioritization and forecasts.
★ Ability to appreciate great design and be able to distinguish it from good design.
★ Understand the technical complexity of the features they put on the backlog, without any costing input from developers.
★ Ability to influence management and work effectively in a highly-matrixed environment.
★ Excellent verbal/written communication and analytical skills.
Review and implement risk models utilizing knowledge of probability theory, pricing theory, stochastic calculus and Python programming. Analyze all aspects of model and market risk. Use experience and market/product knowledge to identify and assess the appropriateness of the models key underlying assumptions. Derive models reserve requirements; and analysis of date to ensure integrity and quality, development requirements for granularity, determine history requirements and timelines and mapping rules, documenting the business, data and function requirements to support the development of PD, LGD and EAD models.. Create documentation for all activities. Assist in the review of control procedures and development of written policies and procedures for risk management purposes.
Responsible for independently conducting quantitative analytics and complex modeling projects. Quantitative and analytic skills and experience with data analysis and building frisk forecasting models. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.
★ Validate risk and quantitative forecasting models.
★ Review the underlying assumptions, theory, derivation, empirical evidence, implementation and limitations of the model being validated.
★ Identify, quantify and follow model risk associated with the model being validated.
★ Develop benchmark models in Python for model review and model risk management purposes.
★ Prepare validation report and technical documents for the model being validated.
★ Assist market risk managers on trade approvals and finance on price verification methodologies.
★ Help on maintaining model inventory and conducting ongoing model performance monitoring.
★ Bachelor’s Degree or foreign equivalent in Quantitative field required: Computational Finance, Mathematics, Statistics, Physics or related degree.
★ Master’s/Advanced Degree in Quantitative field or MBA with quantitative focus; PhD preferred
★ 1+ years experience in financial markets and quantitative trading.
★ Familiarity with Bloomberg Terminal and Corporate Debt is a must.
★ The candidate must have graduate-level research experience or coursework in the following: modeling; using Python: stochastic calculus; Partial Differential Equations; Statistics; Probability; Real Analysis; Numerical Analysis; Monte Carlo Methods; Machine Learning.
★ Any suitable combination of education, training, or experience is acceptable.
★ Strong quantitative skills in such areas as econometrics, statistics, hazard modeling, and time series analysis.
★ Strong knowledge of bank products, processes and business practices.
★ Experience working with large data sets. SAS experience desirable.
★ Familiarity with leading risk management practices and applicable regulatory guidance.
★ Meticulously support the sales, financing and administrative functions within the company.
★ Build beautiful reports, fundraising and sales collateral.
★ Organize and align the company's branding collaterals.
★ Work closely with the company's trusted service providers to ensure smoothness of administration.
This job is ideal for candidates who are interested in getting their hands dirty in the full back-end operations of a fast-growing startup from a sales and planning point of view, and are able to work independently while keeping team communication strong. At the same time, you will be client-facing, which will provide you with the opportunity to grow your professional network with some of the largest players on the scene.
★ Bachelor's degree in Finance or Business preferred.
★ 2+ years of Financial Accounting experience a plus.
★ Highly proficient with the use of MS PowerPoint and Excel.
★ Excellent writing skills, communication, analytical and negotiation skills.
★ Excellent organizational skills and ability to prioritize and multitask.
★ Able to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
★ Able to work efficiently and independently.
★ Able to work as a team player.
★ Strong decision-making ability and attention to detail.
★ Proactive, results-oriented, creative problem solver.
★ Trustworthy and dependable, with strong character references.