

Statistical Assistant
M-F -9A to 5P Unpaid Lunch Break Possible Overtime No travel required Possible Work required on a NYS Holiday No Parking Provided Minimum Candidate Qualifications:
The candidate must have a minimum of:
Eligible to work in New York State
Bachelor's degree in accounting, actuarial sciences, auditing, banking, business, business administration, business and technology, commerce, computer science, cyber security, econometrics, economics, finance, financial administration, information systems, information systems engineering, information technology, internal controls, data management, data science, computational sciences, statistics, market analysis, mathematics, public administration, public policy, risk management, taxation, or technology
Four (4) or more years of financial services experience in one or more of the following: Metrics and Reporting, Statistical Data Analysis, Business Analytics, Data Visualization, Data Quality and Timeliness, Data Governance & Management, Internal Controls, Risk Management, Auditing
Job Description and Required Services:
NYS Department of Financial Services is looking for a motivated and analytically driven Statistical Assistant to be part of the Virtual Currency Unit (VCU) within the Research and Innovation Division. This position will be part of the Virtual Currency Data Governance & Analytics group within the VCU. The position will help drive the transformation of data, and business processes and practices. The role will also develop data analytics and reports. Duties include, but are not limited to, the following:
Reviews and monitors quality of data submissions by entities, monitors variances, identifies trends, and recommends relevant actions.
Designs and prepares periodic reports as per requirements details in official DFS policies.
Closely collaborate with data stakeholders in the Limited Purpose Trust Unit to drive decision making processes and facilitate discussions to address outstanding items.
Use technical expertise to automate manual processes and reporting.
Compile and compute data according to statistical formulas for use in data analysis and/or statistical studies.
Work with complex data sets to understand problems and recommend procedures while using various analytical and statistical approaches.
Use business intelligence software (Tableau) to create dashboards and visualize data.
Prepare business analytics and assist in preparing metrics and reporting for the Limited Purpose Trust Unit.
Respond to ad hoc requests for data, aggregations, and visualizations.
Conduct research and analysis of data at DFS, definitions and usage, system flows, challenges, and opportunities.
Develop documentation including data dictionaries, policies, and procedures.
Other duties as assigned.
In addition, the candidate must possess and/or have the ability to:
Metrics and reporting experience
Data analysis experience
Data visualization experience
High-level competency in Excel (advanced formulas, macros, etc.)
Solid understanding of relational database management systems, SQL, data modeling
Ability to translate complex business requirements to technical specifications for IT
Highly motivated and effective working autonomously and as part of cross-functional teams
Ability to multi-task across projects, and be detail-oriented and accurate
Basic crypto market knowledge
Notes:
Telecommuting may be allowed at the discretion of the hiring manager
The Department does not provide parking, but the office is accessible by mass transit.
Salary Commensurate with scope of work job experience Business Casual and footwear to perform tasks in a safe manner. This job description is not intended to be all inclusive and employee will be expected to perform other reasonably related duties as assigned.
New Wave People is an Equal Opportunity Employer (EEO). #OTIND123