We are seeking a motivated Analyst to support the development and maintenance of Anti-Financial Crime (AFC) analytical models. This role focuses on leveraging data science techniques to detect suspicious activities, enhance transaction monitoring, and strengthen AML/CFT compliance frameworks.
Mandatory Skill(s)
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field;
- Has 0-1 year of experience in financial services, preferably with exposure to AML systems or compliance;
- Strong analytical and problem-solving skills with a data-driven mindset;
- Strong SQL skills for data extraction, transformation, and analysis;
- Must have proficiency in Python for data analysis and model development;
- Must have Solid understanding of statistical modeling and machine learning techniques (e.g., classification, clustering, anomaly detection);
- Strong interpersonal and communication skills, with the ability to work across teams and engage stakeholders effectively;
- Ability to work independently and collaboratively in a fast-paced environment;
- Strong attention to detail and a proactive mindset.
Desirable Skill(s)
- Familiarity with big data technologies (e.g., Hadoop, Spark);
- Exposure to AI/ML applications in compliance or Generative AI.
Responsibilities
- Design, develop, and implement advanced analytical models, machine learning algorithms, and statistical techniques to identify suspicious patterns, anomalies, and emerging AML risks;
- Collaborate with Data Scientists and Business Analysts to deliver end-to-end AFC model development, including data wrangling, exploratory data analysis (EDA), feature engineering, model selection, training, and validation;
- Perform periodic model tuning, testing, and back-testing to ensure model effectiveness and robustness;
- Partner with Business Analysts to understand feedback on model performance and incorporate improvements;
- Retrain and recalibrate existing models to mitigate model drift and maintain accuracy over time;
- Support ongoing enhancement of monitoring systems to align with evolving regulatory and business requirements;
- Participate in model governance processes, including validation, documentation, and audit support;
- Assess models for bias, fairness, and compliance with regulatory and ethical standards;
- Ensure adherence to internal policies and external AML/CFT regulatory requirements.
If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Meenakshi Saklani at meenakshi.saklani@sciente.com quoting the job title.
