Analyst - Data Science
- American Express
- 0 - 3 years
- Noida, Gurugram
- 7 days ago
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Job Description
- The Centre of Excellence (CoE) dedicated to Financial Crimes Decision Science and Analytics is responsible for the Enterprise-Wide financial crime risk management related programs across all our products and services globally.
- The team develops, implements, monitors and optimizes the automated transaction monitoring rules, reports, and other processes crafted to identify activity potentially indicative of financial crime behavior that is important from regulator view.
- By leveraging AI and ML Models, the Data Science team of the CoE has been a pioneer of the innovation. These models are intended to support and automate decision making for investigators, reducing time and effort spent in the Anti-Money Laundering Efforts of the firm.
- These innovative enhancements are critical input into making risk adjusted AML mitigation strategies across product and portfolios
How will you make an impact in this role
- Responsible for development, deployment, and validation of predictive model(s) and supporting use of models in AML use cases
- Understand the AML Program of AXP and the levers behind various decisions
- Analyse large amounts of data to derive business insights and create innovative solutions
- Leverage various traditional Unsupervised and supervised techniques, including isolation forest and gradient boosting methods
- Setup and develop use cases leveraging emerging technologies like GenAI
- Setup and monitor model performance using internal trackers and smart monitoring
- Working closely with GFCC, FIU, CFR capabilities teams to understand their requirements and provide solutions.
- Develop end-to-end data science solutions and work with internal governance team to get them approved
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solution
- Clear articulation and structuring of project findings across to the leadership and key partners
- Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc
Minimum Qualifications
- A strong balance of technical knowledge and discernment with a proven track record of driving innovation and business metrics. Decision Science related work experience is highly desired
- 0-30 months of work experience in data science or statistics related field
- Excellent proficiency in Python (Data Science Related Libraries) and SQL
- Evidence of strong mathematical & statistics knowledge
- Ability to drive project deliverables to achieve business results
- Ability to work effectively in a team environment
- Strong communication and interpersonal skills
- Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
- Bachelors degree in economics, Statistics, Computer Science Or related fields
Preferred Qualifications
- Expertise in Coding, Algorithm, High Performance Computing
- Experience in version control (git), model deployment, developer environments
- A good understanding of AML Investigations, payments industry and decision science frameworks
We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries.
- Bonus incentives.
- Support for financial-we'll-being and retirement.
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
- Generous paid parental leave policies (depending on your location).
- Free access to global on-site we'llness centres staffed with nurses and doctors (depending on location).
- Free and confidential counselling support through our Healthy Minds program.
- Career development and training opportunities.
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: American ExpressLocation(s): Noida, Gurugram+ View Contact
Keyskills: Career development Interpersonal skills data science Machine learning Anti money laundering Risk management Analytics Counselling SQL
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