Consultant, Financial Crimes Advisory – Analytics Focus - Remote, UK
at Arachnys Information Services Ltd UK
London WC2N 5DU, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Apr, 2025 | Not Specified | 16 Jan, 2025 | 1 year(s) or above | Anti Corruption | No | No |
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Description:
CAPABILITIES
- Excellent skills with SQL, Excel, PowerPoint (Python or R preferred, but not required)
- Ability to interpret the results of data analyses to identify patterns and reach conclusions
- Ability to clean and normalize data
- Ability to use SQL to create and analyze large data sets
- Highly organized, able to work on multiple projects simultaneously
- Excellent oral, written, critical thinking, problem-solving, and interpersonal skills
- Ability to learn quickly and absorb information quickly
REQUIRED QUALIFICATIONS
- Bachelor’s Degree
- Minimum of two years of consulting experience
- Minimum of one year of financial crimes-related experience: anti-money laundering, fraud, economic sanctions, anti-corruption and bribery
- CAMS certification preferred but not required
How To Apply:
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Responsibilities:
PRIMARY RESPONSIBILITIES
- Conduct in-depth analyses of large AML-related data sets
- Identify gaps and irregularities within clients’ AML data
- Evaluate the extent to which specific data adhere to government regulations and guidelines
- Create concise, clear write-ups of the results of data analyses
- Interact with SMEs and managers to seek guidance on complex issues
- Absorb and understand the fundamentals of applicable AML regulations and guidelines
- Interact with clients (at all levels) in a professional manner
The Financial Crimes Advisory Consultant will be responsible for working on multiple, simultaneous anti-money laundering-related (AML) engagements. Sample engagements include:
- System Implementations of a full-range of AML systems (transaction monitoring, sanctions screening, customer risk rating, fraud)
- Tuning AML systems (TM, Screening, CRR, etc.)
- Model Validations of any AML-related models (per applicable guidelines)
- Data Reconciliations, data lineage and data quality testing
- AML Program Reviews, including policies and procedures, gap analysis, risk assessment
REQUIREMENT SUMMARY
Min:1.0Max:6.0 year(s)
Financial Services
IT Software - Other
Finance
Graduate
Proficient
1
London WC2N 5DU, United Kingdom