Junior Data Analyst

  • location: Baltimore, MD
  • type: Contract
  • salary: $21.33 per hour
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job description

Junior Data Analyst

job summary:
Description:

Top Skills:

- Advanced Excel experience, including constructing complex models and writing macros in VBA

- Experience in statistical data analysis and data mining packages (e.g. R, SAS, and Excel)

- Experience with data warehousing designs, data architecture, database technologies, and ETL. Ability to write SQL queries and stored procedures

- Experience with data visualization tools, including Excel and Tableau

Primary Responsibilities

The Risk Assessment Data Analyst will:

- Assist the Risk Assessment Coordinator in all phases of the risk assessment process, including planning, data gathering, data analysis, and reporting

- Aid in the enhancement of the existing risk assessment framework and reporting process, including through updates to the assessment methodology and by identifying additional quantitative risk data points for use in evaluating the Firm's inherent risks and control strength

- Coordinate and support projects related to the risk assessment process, such as engaging with internal groups to source data for use in the risk assessment

- Support the process for updating the Firm's assessment of country risk

- Assist in the preparation of periodic and ad hoc metrics reports for regulators, senior compliance management, including through the evaluation and enhancement of existing metrics and supporting processes

- Coordinate with other compliance and risk areas in connection with their risk assessment processes

- Such additional responsibilities as may be identified

Qualifications required (essential)

- 4-year college degree

- 1-3 years' experience as a data analyst, data scientist, data engineer or related quantitative role, preferably at a large/complex financial institution

- Advanced Excel experience, including constructing complex models and writing macros in VBA

- Experience in statistical data analysis and data mining packages (e.g. R, SAS, and Excel)

- Experience with data warehousing designs, data architecture, database technologies, and ETL. Ability to write SQL queries and stored procedures

- Experience with data visualization tools, including Excel and Tableau

- Intellectual curiosity, along with excellent analytical and problem-solving skills

- Certification as an Anti-Money Laundering Specialist by ACAMS or equivalent AML certification/license - or certification within 15 months of hire

Qualifications desired

- Possess an understanding of financial markets and banking, including broker-dealer product knowledge

- Prior experience with risk assessments processes and methodologies

- Knowledge and experience with any of the following: anti-money laundering, economic sanctions, anti-tax evasion and anti-corruption regulatory requirements.

- Ability to present recommendations in a non-technical, business-friendly way for consideration by senior management

- Self-sufficient with Python (including Pandas and Scikit-learn) or other programming language

- Have strong written and verbal communications skills, attention to detail and strong time management skills

- Have excellent interpersonal skills and ability to work effectively with colleagues across regions and Business Units

- Have the ability to effectively handle a fast paced environment and successfully meet established deadline requirements

- Be self-motivated and must have the ability to work independently

Analyze user requirements, procedures, and problems to improve business process. Confer with personnel of relevant organizational units to analyze current operational procedures and identify problems. Write detailed description of user needs, as well as functional and/or technical specifications. Review current business process, workflow and scheduling limitations. Study existing information-processing systems to evaluate effectiveness and develop new system specifications to improve production or workflow as required. Prepare workflow charts and diagrams. Requires 4-6 years prior experience.

 
location: Baltimore, Maryland
job type: Contract
work hours: 8 to 5
education: Bachelor's degree
experience: 3 Years
 
responsibilities:
Description:

Top Skills:

- Advanced Excel experience, including constructing complex models and writing macros in VBA

- Experience in statistical data analysis and data mining packages (e.g. R, SAS, and Excel)

- Experience with data warehousing designs, data architecture, database technologies, and ETL. Ability to write SQL queries and stored procedures

- Experience with data visualization tools, including Excel and Tableau

Primary Responsibilities

The Risk Assessment Data Analyst will:

- Assist the Risk Assessment Coordinator in all phases of the risk assessment process, including planning, data gathering, data analysis, and reporting

- Aid in the enhancement of the existing risk assessment framework and reporting process, including through updates to the assessment methodology and by identifying additional quantitative risk data points for use in evaluating the Firm's inherent risks and control strength

- Coordinate and support projects related to the risk assessment process, such as engaging with internal groups to source data for use in the risk assessment

- Support the process for updating the Firm's assessment of country risk

- Assist in the preparation of periodic and ad hoc metrics reports for regulators, senior compliance management, including through the evaluation and enhancement of existing metrics and supporting processes

- Coordinate with other compliance and risk areas in connection with their risk assessment processes

- Such additional responsibilities as may be identified

 
qualifications:
Qualifications required (essential)

- 4-year college degree

- 1-3 years' experience as a data analyst, data scientist, data engineer or related quantitative role, preferably at a large/complex financial institution

- Advanced Excel experience, including constructing complex models and writing macros in VBA

- Experience in statistical data analysis and data mining packages (e.g. R, SAS, and Excel)

- Experience with data warehousing designs, data architecture, database technologies, and ETL. Ability to write SQL queries and stored procedures

- Experience with data visualization tools, including Excel and Tableau

- Intellectual curiosity, along with excellent analytical and problem-solving skills

- Certification as an Anti-Money Laundering Specialist by ACAMS or equivalent AML certification/license - or certification within 15 months of hire

Qualifications desired

- Possess an understanding of financial markets and banking, including broker-dealer product knowledge

- Prior experience with risk assessments processes and methodologies

- Knowledge and experience with any of the following: anti-money laundering, economic sanctions, anti-tax evasion and anti-corruption regulatory requirements.

- Ability to present recommendations in a non-technical, business-friendly way for consideration by senior management

- Self-sufficient with Python (including Pandas and Scikit-learn) or other programming language

- Have strong written and verbal communications skills, attention to detail and strong time management skills

- Have excellent interpersonal skills and ability to work effectively with colleagues across regions and Business Units

- Have the ability to effectively handle a fast paced environment and successfully meet established deadline requirements

- Be self-motivated and must have the ability to work independently

Analyze user requirements, procedures, and problems to improve business process. Confer with personnel of relevant organizational units to analyze current operational procedures and identify problems. Write detailed description of user needs, as well as functional and/or technical specifications. Review current business process, workflow and scheduling limitations. Study existing information-processing systems to evaluate effectiveness and develop new system specifications to improve production or workflow as required. Prepare workflow charts and diagrams. Requires 4-6 years prior experience.

 
skills: Other
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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