Lead Data Scientist - Finance Technology

Aumni; Jersey City (NJ); On-site; USD 142,500 - 210,000; Full time

Job summary

TwinThread is hiring a Lead Data Scientist in Jersey City, NJ to join their Finance Technology team. In this role, you will develop AI/ML solutions that significantly enhance finance processes, collaborating with a global team of experts. Candidates are required to have a Bachelor's degree in Computer Science or Data Science along with 12+ years of relevant experience, including proficiency with ML techniques such as regression and NLP. The position offers a competitive salary and is an equal opportunity employer.

Qualifications

• 12+ years of experience as a data scientist.
• Experience with machine learning techniques and advanced analytics.
• Familiarity with Financial Services preferred.

Responsibilities

• Build and train production-grade ML models on large-scale datasets.
• Utilize data processing frameworks to extract value from data.
• Create high-quality data models to ensure data integrity.

Skills

Machine Learning techniques

Deep Learning

Data visualization

Python

SQL

Scala

Education

Bachelor’s Degree in Computer Science or Data Science

Tools

Hadoop

Job description

Lead Data Scientist - Finance Technology

Jersey City, NJ, United States

Job Information

• Job Identification: 210635777
• Job Category: Predictive Science
• Business Unit: Consumer & Community Banking
• Posting Date: 06/23/2025, 10:13 PM
• Locations: 545 Washington Blvd, Jersey City, NJ, 07310, US 880 Powder Mill Rd, Wilmington, DE, 19803, US
• Job Schedule: Full time
• Job Shift: Day
• Base Pay/Salary: Jersey City,NJ $142,500.00-$210,000.00

Job Description

Join our Finance Technology team to build world-class AI/ML solutions for finance processes and drive significant business impact by tackling diverse challenges across multiple technologies and applications.

As a Lead Data Scientist in our Finance Technology team, you will play a pivotal role in building and delivering cutting-edge AI/ML solutions that enhance our finance processes. Your deep technical expertise and problem-solving skills will drive significant business impact, as you work on diverse challenges across multiple technologies and applications. Collaborate with business users and technology partners to identify and execute machine learning opportunities, while managing a global team of data scientists and engineers.

Job Responsibilities:

• Build and train production-grade ML models on large-scale datasets to solve business use cases.
• Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
• Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.
• Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.
• Create data models using best practices to ensure high data quality and reduced redundancy.
• Stay current on industry trends and adopt the latest methodologies into existing implementations.
• Present and market proposed solutions to senior business and technology colleagues.
• Collaborate closely with business users to identify and execute machine learning opportunities.
• Work with the team and other technology partners on ML Ops aspects.
• Manage a global team of data scientists and data engineers.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s Degree or equivalent experience in Computer Science or Data Science.
• 12+ years of experience as a data scientist.
• Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
• Experience with LLM and Gen AI.
• Experience with Agentic workflows.
• Proficiency in ML languages such as Python, SQL, Scala.
• Experience with statistical techniques - i.e., data mining, data transformations, text mining, data visualization.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with Financial Services.
• Experience building ML models in a cloud environment.
• Experience with Big Data Platforms such as Hadoop.
• Outstanding written/verbal communication and presentation skills.
• Comfort with ambiguity and proven ability to structure problems.
• Team-oriented collaborator.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans