Quantitative/Data Analytics Analysts

Infotek Consulting is searching for two Quantitative/Data Analytics Analysts - this is a hybrid W2 contract assignment based in Chicago. Must be able to go on site twice per week and work on W2

Risk Analytics and Risk Modelling is responsible for the development of analytics to measure and optimize AML and credit risk performance. The AML Analytics team supports the development of AML risk strategy to deliver the bank's client experience, risk management, and business growth objectives. Reporting to the Senior Manager, the Consultant, Risk Analytics is responsible for supporting the analytical requests of the AML compliance program and is responsible for the effectiveness of all AML data quality, accuracy and analytics.

How You ll Succeed

• Quantitative Analytics Support the quantitative analytical work based on model risks, business needs and regulatory requirements while fostering a continuous improvement culture. Demonstrate considerable knowledge and analytic capabilities through the development of quantitative data analysis and data mining solutions, emphasizing the development of database driven reports and analyses. Maintain a high level of competency in statistical and analytical principles, tools and techniques. Assesses data quality and potential impacts.
• Technical / Data Modelling Skills Develop rules and models that continuously improve the effectiveness of the AML transaction monitoring systems and AML Sanction screening systems. Have the ability to translate business requirements to technical specifications for technology to implement, also have the ability to review and assess technology systems relative to business requirements. You will also be required to support/participate in data quality efforts and the expansion of transaction monitoring coverage to new product types.
• Communication & Collaboration Manage relationships with technology partners and external vendors to ensure the systems supporting the program are operating effectively and efficiently. You have the ability to coordinate efforts within compliance teams as well as across multiple business units and possess excellent communication and interpersonal skills with the ability to interact with all levels of the organization

Who You Are

• You can demonstrate minimum 5 years experience in in analytics or technical fields, ideally in a financial services industry, or regulatory agency or law firm involving compliance issues. SQL programming and conducting data mining, query performance and tuning. You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling.
• You ideally have strong knowledge of: AML regulations, OFAC laws, practices and economic sanctions, which may be enhanced via accreditation by ACAMS (Association of Certified Anti-Money Laundering Specialists), or similar certification, or become certified within first year of employment. It s an asset if you have working knowledge of Customer Due Diligence and Transaction Monitoring modules and anti-fraud or compliance systems.
• You have a degree/diploma in M.S. degree or above with emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields
• You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
• You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what's possible.
• You understand that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• Values matter to you. You bring your real self to work and you live our values trust, teamwork and accountability.

Seniority Level

• Mid-Senior level

Industry

• Banking

Employment Type

• Contract

Job Functions

• Information Technology
• Finance

Skills

• Anti-Money Laundering
• Python (Programming Language)
• R (Programming Language)
• SQL
• U.S. Office of Foreign Assets Control (OFAC)
• SAS (Programming Language)
• Risk Modeling
• Quantitative Analytics
• Statistics
• Economics
• Career Development Coaching
• Statistical Analysis