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4 дня назад

Consultant, Risk Analytics (AML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Consultant, Risk Analytics (AML): Developing quantitative analytics, data quality solutions, and rules and models for AML transaction monitoring and sanctions screening with an accent on statistical analysis, data mining, and regulatory requirements. Focus on translating business requirements into technical specifications, optimizing complex compliance systems, and expanding monitoring coverage across new product types.

Location: Toronto, ON; hybrid arrangement with 1–3 days per week on-site at Toronto-81 Bay, 31st Floor, and the remaining days remote. Candidates must be legally eligible to work in Canada and, where applicable, hold a valid work or study permit.

Company

hirify.global is a relationship-oriented bank developing financial services for modern clients.

What you will do

  • Lead and support analytical requests for the AML compliance program.
  • Maintain the effectiveness, quality, and accuracy of AML data and analytics.
  • Develop quantitative data analysis, data-mining solutions, database-driven reports, and analyses.
  • Develop rules and models to improve AML transaction monitoring and sanctions screening systems.
  • Translate business requirements into technical specifications, assess technology systems, and test and implement system changes.
  • Coordinate with compliance teams, technology partners, external vendors, and multiple business units.

Requirements

  • At least 5 years of experience in analytics or technical fields, ideally in financial services, a regulatory agency, or a law firm involving compliance issues.
  • Experience with SQL programming, data mining, query performance, and query tuning.
  • Knowledge of statistical and computer software or analytical tools, including SAS, R, SQL, Python, Microsoft Word, Excel, and PowerPoint; knowledge of UNIX or PC environments for modelling.
  • Strong knowledge of AML regulations, OFAC laws, practices, and economic sanctions.
  • A bachelor’s degree or higher with an emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
  • Ability to lead quantitative analytical work based on model risks, business needs, and regulatory requirements.
  • Ability to translate business requirements into technical specifications and assess technology systems against business requirements.
  • Strong communication, interpersonal, critical-thinking, relationship-management, and collaboration skills.

Nice to have

  • ACAMS or a similar certification, or willingness to become certified within the first year.
  • Working knowledge of Customer Due Diligence, Transaction Monitoring modules, anti-fraud systems, or compliance systems.

Culture & Benefits

  • Full-time temporary fixed-term employment for 9 months, with 37.5 weekly hours.
  • Hybrid work arrangement with flexibility to manage work activities.
  • Competitive compensation and banking benefits, subject to program terms and conditions.
  • Wellbeing support, employee and family assistance programs, and a points-based recognition program.
  • Inclusive and accessible candidate and employee environment.

Hiring process

  • An attribute-based assessment and other skills tests may be required, including simulation, coding, or French proficiency assessments.
  • Artificial intelligence tools may be used during recruitment.

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