Data Scientist

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Job description

Role: Data Scientist

Type: Contract, Contract to Hire

Location: Jersey City, NJ, Charlotte, Remote

***NO C2C or 3rd Party Candidates***

Description:

The Data Scientist will be responsible in assessing AI (Artificial Intelligence) solutions implemented across the bank (built internally or externally) to identify any risks which may have unintended consequences

Thereby, assisting our client to follow principles of Responsible AI (Fairness/Equality/Justice, Privacy, Transparency etc.)

Job Responsibilities:

• Critically assess and challenge models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation
• Understand the core methodology in AI solutions and the context in which it will be deployed so as to find risks/gaps
• Develop efficient methodologies to detect and to quantify risks/gaps in AI solutions
• Suggest alternative approaches or controls to mitigate risks/gaps identified
• Develop and implement testing plans and testing code in order to challenge models through empirical analyses and to verify model implementation
• Create metrics to quantify risks/gaps specific to each AI solution and define thresholds after consulting with all stakeholders
• Monitor metrics for breach of thresholds
• Look for unexpected risks / unintended consequences of an AI solution over its life cycle
• Assist in evaluating AI Solutions during Tollgate, Risk Assessment & Deployment Signoff process
• Write technical reports for distribution and presentation to model developers, senior management, and audit

Requirements:

• Ph.D/Masters/Bachelors degree in a quantitative field such as Mathematics, Physics, Finance, Engineering or Statistics
• 4 years of professional experience as a Data Scientist or related roles
• Hands-on experience with Statistical Modeling/Machine Learning/Deep Learning techniques is must
• Should be well-versed in programming languages of R/Python/SAS and be familiar with Deep Learning Frameworks like Tensorflow/Pytorch
• Sound knowledge of financial instruments and financial risk/operational risk management principles is must
• Ability to understand and implement techniques discussed in AI research papers (academic and technical)
• Candidates must have any of financial certifications like CFA, FRM (at least level 1/part 1 should have been cleared)
• MBA is not required but preferred

Top 3 required IT/Technical skill-sets:

• Hands-on experience with Statistical Modeling/Machine Learning/Deep Learning techniques is must
• Should be well-versed in programming languages of R/Python/SAS and be familiar with Deep Learning Frameworks like Tensorflow/Pytorch
• Sound knowledge of financial instruments and financial risk/operational risk management principles is must