Data Scientist [Multiple Positions Available]

DESCRIPTION:

Duties: Build and train production grade machine learning models on large-scale datasets to solve business use cases.

Use large-scale data processing frameworks to manipulate and extract value from both structured and un-structured data.

Solve various business use cases involving forecasting and anomaly detection using Deep Learning models like Natural language Processing and Large Language Models.

Perform data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.

Create data models using best practices to ensure high data quality and reduced redundancy.

Identify opportunities to adopt to the latest methodologies into existing implementations and stay current on industry trends.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Mathematics, Computer Science, Data science or related field of study plus seven (7) years of experience in the job offered or as Data Scientist, Financial Reporting Analyst, or related occupation.

The employer will alternatively accept a Master's degree in Mathematics, Computer Science, Data science or related field of study plus five (5) years of experience in the job offered or as Data Scientist, Financial Reporting Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following skills: developing and deploying machine learning techniques in financial domains, including regression, classification, clustering, and time series analysis; designing and implementing financial engineering models to optimize stock borrow and loan strategies; developing and refining Natural Language Processing models to extract insights from unstructured text data; designing and tuning language models using deep neural networks to solve problems in areas including sequence prediction and language modeling; implementing transformer-based models, including BERT, GPT and Focal loss function; conducting Monte Carlo simulations for modeling and evaluating the impact of uncertainty and variability in firm's liquidity forecasts; performing matrix computations and applying linear algebra techniques to optimize algorithms and improve the efficiency of machine learning models; utilizing Spark, Hadoop, Shell Scripting, Pentaho and Qliksense Server Side Extensions to create Qlik plugins; Kubernetes and Spark on Kubernetes; and machine learning (ML) model deployment using Jenkins pipeline.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location.

For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings ...