Data Scientist
2 weeks ago
Overview:
Are you a qualified and proficient Data Scientist with proven experience in the financial domain and the ability to drive business growth & operational efficiency? Presight AI needs your skills to develop and deliver diverse data products across the company—including, but not limited to, financial analytics and regulatory compliance, Anti-Money Laundering (AML), counter-terrorism financing, anomaly detection, fraud detection, financial expert systems, and social network analysis.
**The opportunity**
You get to play a critical role in shaping the growth trajectory of Presight and support the development of their cutting edge, next-gen analytics solutions & services.
Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries - all committed to delivering impact.
Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
**Responsibilities**:
**Key responsibilities**
- Functional_
- Perform a broad range of quantitative works, including model development and ad hoc analytics to address financial compliance needs in AML/BSA/OFAC
- Research, compile and evaluate large sets of data to assess the quality and determine suitability for model building
- Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
- Document model development process and outcomes properly and support model validation and review
- Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
- Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
**Skills and attributes for success**
The criteria to evaluate your performance would include cost savings achieved, number of use cases investigated + datasets mined & explored, number of existing solutions & processes optimized, number of services and solutions digitized, number of innovations/POCs deployed, and customer NPS.
**Key responsibilities**
- Functional_
- Perform a broad range of quantitative works, including model development and ad hoc analytics to address financial compliance needs in AML/BSA/OFAC
- Research, compile and evaluate large sets of data to assess the quality and determine suitability for model building
- Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
- Document model development process and outcomes properly and support model validation and review
- Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
- Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
**Skills and attributes for success**
The criteria to evaluate your performance would include cost savings achieved, number of use cases investigated + datasets mined & explored, number of existing solutions & processes optimized, number of services and solutions digitized, number of innovations/POCs deployed, and customer NPS.
Qualifications:
**To qualify, you must have**
- Bachelor’s degree in mathematics, statistics, econometrics, finance, or related field
- At least 3 years of experience in data science conducting data-driven projects in the financial domain
- Possess knowledge of financial regulatory and compliance such as auditing and anti-bribery, with preference to UAE-specific experience
- Possess experience in anomaly detection, social network analysis, and AI expert systems
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Pyth
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