Sr Data Analyst- NJ Location
Panalyx - Toronto, ON

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This is Mount Laurel,NJ and is Contract to hire and the initial contract will be maybe 3-6 months and then client will hire……

Here is the detailed role job requirement for Data Analyst role

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Job Description / Accountabilities

Reporting to the Senior Manager within AFA, the Data Analyst will be responsible for identifying current and emerging trends in financial crimes and applying this knowledge in assessing and helping to ensure the sufficiency and consistency of bank-wide financial crime risk detection and controls, as reflected in the creation of advanced analytics and modeling. As an important member of the AFA team, the incumbent will support the effort by building automated data tools to support transaction monitoring and investigations.

The general accountabilities of this role include but are not limited to the following:

Deliver Data Analytics

· Drive the creation and introduction of advanced analytics and statistical modeling to deliver meaningful data analysis. For example, identify customer patterns by building and assessing probability studies and complex statistical analysis such as unstructured sampling and correlations to determine potential financial crime patterns and activities

· Consolidate and match data elements within transactions and conduct forensic analysis using multiple systems and platforms

· Leverage learning engines, feedback methods, behavior analysis to define and investigate risk elements within transactions

· Propose, develop and maintain advanced algorithms to be run on both enterprise systems as well as low-level embedded systems

· Conduct probability and causality analysis to forecast future financial crime activities

· Build and maintain first-party tools and source and integrate third-party tools for insightful analysis and persuasive and attractive presentation of big data sets

· Design easy to use custom reports and queries to support AFA and Lines of Business (LOBs)

· Translate analysis results into digestible tabular or graphical reports

· Enhance and maintain Data Warehouse and ETL infrastructure

Support Growth of Analytics Group

· Support the effort in developing tools, analytics model and reports and measure their effectiveness in assessing and predicting fraudulent behaviors and crimes

· Continuously identify opportunities to automate data analysis to increase efficiencies and enhance data accessibility and quality

· Conduct assessment of existing analytics tools and determine opportunities to enhance existing capabilities and increase quality

· Consolidate silo-ed, irregular and external data from legacy system to support the effort in enabling an enterprise view of financial crime analytics

· Maintain current awareness of evolving trends in technological crime, investigative techniques and new and enhanced delivery systems in the banking industry

Interact with Business Stakeholders

· Interact closely with multiple business functions and LOBs, including Compliance, GSI, CSTS and TRMIS to assess and provide data analytics and reporting needs

· Deliver written and oral presentations, often using charts and graphs, to inform various business groups and functions of emerging or existing financial crimes, patterns and trends

· Provide analytical insights in business settings to raise issues and support decision making

· Provide Subject Matter Expertise in interpreting suspicious transactions, data mining analysis, external intelligence and metrics

Knowledge and Skills Required

This role requires advanced skills in data analytics; the ideal candidate should have 8-10 years of experience in an analytical role, creating highly complex data models and algorithms, preferably in the context of financial crimes, fraud and compliance.

Technical Competencies

· Solid analytic, problem-solving and strategic thinking skills to assess data and report on results

· Extensive experience in working with large data systems and building complex predictive models and pattern detection algorithms such as profile analysis, neural net and predictiveanalytics to assess fraudulent activities

· Deep expertise in applying complex data analytics technics, including Bayesian analytics, advanced data mining and dynamic analysis, as well as data warehousing

· Ability to build custom reports and queries with large volumes of unconsolidated and unformatted data

· Ability to write algorithms to detect patterns related to financial crimes activity, involving the use of mathematical models such as large number theory, elliptical curve systems etc.

· Strong fundamentals with programming languages (C and C++, etc.)

· A proven history of both building tools and sourcing third-party tools to make sense of and visualize large data sets

· Familiarity with packages such as MATLAB, Mathematica, Tableau, etc.

· Experience with designing variable constructs and dynamic analysis that can be automated and run regularly

· Familiar with multiple database systems (MySQL, PostgreSQL, Oracle, etc.)

· Highly competent in using analytical and computer tools, such as SAS, SQL, DB2, R statistical package, NoSQL architectures (Hadoop, HBASE, etc.) and Excel

Business Acumen

· Experience with AML, Fraud, Securities and /or Financial Crimes processes and regulations

· Familiar with financial crime patterns and detection

· Experience in advanced qualitative and quantitative financial crime detection and prevention methods strongly preferred

· In-depth industry knowledge, including current financial crimes trends and challenges globally

· Working knowledge of general banking / consumer finance policies, procedures and operations, as well as bank products, services and support structure

Project Management

· Highly skilled at managing multiple tasks and initiatives while tracking progress against AFA roadmap

· Ability to execute and to support multiple projects concurrently

Relationship Building and Communications

· Strong written and verbal communication skills and the ability to interact professionally with senior management within various business

· Experienced with working in both a technical and business context and able to translate technical concepts into easy to understand business language

· Ability to start and maintain strong partnerships with business groups

Other Qualifications/Skills/Experience

· Ability to thrive in a high energy, demanding and team-oriented environment

· Must be detail-oriented, able to handle multiple tasks, and adapt quickly to changing needs of the business to meet deadlines

· Self-driven, motivated to excel, ability to work with minimal supervision, and maintain productivity in a fast-paced and, at times, high pressure environment

· Ability to deal with ambiguity and drive results

· Creative, out-of-the-box thinker, with strong conceptual and problem solving skills

Educational Requirements

· Undergraduate degree required

· Advanced education in applied mathematics / statistics, engineering, physics, applied sciences strongly preferred


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About this company
Panalyx is a professional IT services company with its corporate office in Delaware, USA and Mississauga, ON. We consult and extend an...