We are seeking a Data Scientist to become an integral part of our development team!
This position is for PhD candidates only. The Data Scientist will design & develop scorecards, models and strategies for consumer banking and Small-Medium Enterprises businesses as well as set standards for modeling and analytics processes.
Responsibilities:
Review and perform exploratory analysis, audit of all potential sources of data for analytical projects within businesses
Construct, “clean”, analytical database requirements for specific projects
Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools for consumer & SME business projects
Assist Deployment Specialists in the deployment of the tools in live operating environments within businesses
Train line and operating personnel in machine learning, experimental design principles, data management, and tracking practices, model usage and problem detection
Keep abreast of developments in Data Science, Business Analytics, Applied Mathematics, Statistics, Operations Research and other quantitative disciplines which might be applied to MATRiX ANALYTiCS™Client businesses
Create a knowledge base of scorecard development/Analytics and Domain learning
Research new technologies and develop proofs of concept
Qualifications:
Completed PhD in Statistics, Data Science, Business Analytics, Applied Mathematics, Operations Research, Economics or other quantitative discipline required
2 to 5 years’ experience in scorecard/model development/risk analytics preferred
Ability to work effectively with individuals with diverse backgrounds and positions
Sensitivity to the impact of regional and national cultures upon the nature of interpersonal business interactions
Ability to communicate complex analytical ideas effectively and persuasively
Understanding of consumer and/or Small Medium Enterprise banking business and related systems/processes
Quantitative analysis and statistical modeling
Programming (R, SAS, Groovy, Octave)
Thorough understanding of score development principles and demonstrated proficiency in score development
Ability to prioritize, work independently and multitask
We are seeking a Software Engineer to become an integral part of our development team!
The Data Engineer will develop software applications to automate internal modeling and optimization processes.
Develop standards and protocols for model and strategy deployment across different platforms.
Ensure all the models and analytics solutions are deployed in Client businesses to ensure that statistical models and other analytical solutions are tested, implemented, used, and tracked in an accurate and timely manner.
Responsibilities:
Project Management:
Build Software Applications in Java to automate internal MATRiX model development and strategy optimization processes.
Work with MATRiX client businesses and iX data scientists to assess the feasibility of seamlessly deploying proposed scoring and other analytical projects and, where deployment problems are identified, develop solutions
Work with MATRiX data scientists and client business representatives to develop Business Requirements and User Acceptance Testing (UAT) protocols for model deployment
Guide and assist businesses through the deployment and testing processes
Assure that adequate reporting systems are in place to track the financial and operational impacts of each project
Systems Solutions:
Assist businesses in evaluating, implementing, and testing major Strategy Software packages (e.g., TRIAD, Strategyware, Blaze) for portfolio management.
Consult with businesses to evaluate the quality, periodicity and storage of key analytical data
Keep abreast of the most recent developments in Customer Relationship Management (CRM), Data Warehouse (DWH) management, consumer banking Management Information Systems (MIS) and related areas of Information Technology (IT). Promising developments in these areas are to be exploited
Qualifications:
Masters degree or equivalent in Computer Science, Software Engineering or related field required
1 - 3 years of experience in systems implementation
Software Engineering, Database Management, Systems Testing
Familiarity with various programming languages such as R, JAVA, Groovy, Tableau, SAS
Understanding of institutional standards and policies regarding predictive modeling strategies and practices
Understanding of Strategy Software packages and related design principles
Knowledge of Linux shell programming and Linux Server administration
Project management, strategic planning, systems and technology
Credit Risk Management or supporting Credit processes such as new account processing, sales authorization, customer service management or collections
Ability to work effectively with individuals with diverse backgrounds and positions, ranging from entry-level functions to senior management
Sensitivity to the impact of regional and national cultures upon the nature of interpersonal business interactions
Ability to work independently and to involve and direct critical resources as needed
We are seeking a Senior Data Scientist to become an integral part of our development team!
The Data Scientist will design & develop scorecards, models and strategies for consumer banking and Small-Medium Enterprises businesses banking as well as set standards for modeling and analytics processes
Responsibilities:
Use sophisticated statistical techniques, Operations Research based, ML and DL methods to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools for consumer & SME business banking projects.
Use statistical principals to evaluate scenarios and make predictions on future outcomes in order to solve highly complex business problems and support decision making.
Manage a team of data scientists while also working on project hands-on.
Involvement with presales activities, presentations, pipeline management and business development (10-20% of time).
Develop and implement mathematical approaches and solve complex business problems.
Participate in the development, validation and delivery of algorithms, statistical models and reporting tools.
Convey complex numerical problem to technical and non-technical business partners.
Perform analyses of structured and unstructured data to solve multiple and / or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and / or industry.
Develop and participate in presentation and consultations to existing and prospective constituents on analysis results and solutions.
Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend proactive solutions.
Use strong programming skills to explore, examine and interpret large volume of data in various forms.
Qualifications:
PhD in a quantitative field (Statistics, Operations Research, Mathematics, Computer Science or another quantitative field)
5+ years’ experience in scorecard/model development/risk analytics is required
Knowledge and experience in statistical and data science techniques
Experience creating and using advanced machine learning algorithms and statistics
Experience developing predictive models for banks/financial services and implementing them in production platforms
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from high dimension data sets
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques.
The Sales Manager is responsible for prospecting and generating new commercial business.
This position requires communicating and meeting with commercial accounts in the field to generate new sales.
Responsibilities:
Develop and maintain a thorough knowledge of company products and pricing structure
Identify leads, manage prospects, and acquire new business
Manage assigned book of business (existing customers)
Determine customer needs and propose appropriate service solutions
Meet or exceed sales/revenue goals
Manage assigned company-generated leads through to business close
Complete scheduled and in person prospecting activities to establish first and follow-up appointments with key decision makers
Prepare and deliver sales presentations and proposals to key decision makers
Develop and maintain a working knowledge of local business
Perform other duties as assigned
Qualifications:
BA/BS degree (ideally in business, marketing and/or communication)
Desire to launch a career in business-to-business sales
Minimum 5 years outside business-to-business sales experience with a proven track record of success in Data Analytics industry
Strong general computer and Office suite skills
Previous in person prospecting experience
Experience in developing and executing territory sales strategies
Excellent verbal and written communication skills
Must be organized with good time management skills
Possess strong presentation, negotiation, and closing skills
Must be self-motivated and able to work independently to meet or exceed sales/revenue goals
Sensitivity to the impact of regional and national cultures upon the nature of interpersonal business interactions
Ability to work independently and to involve and direct critical resources as needed
We Offer:
Minimum base salary + Competitive commission based on generated sales
Medical, vision, and dental insurance
Short- and long-term, supplemental, and company-paid life insurance
