Lead, Data Integration Engineer Chatham Financial

5.0 - 9.0 years

0 Lacs

chennai, tamil nadu

On-site

You will play a crucial role as a Lead Data Integration Engineer at Chatham, reporting to the Engineering Manager of the Data Management sub-department and overseeing the Data Integration team. Your responsibilities will revolve around managing Data Integration projects within Product Enablement engagements for the Commercial Real Estate industry. Based in Romania, you will work closely with cross-functional teams on intricate projects that contribute significantly to Chatham's success. In this position, you will support existing integrations and functionalities, monitoring schedules and error logs, troubleshooting integration-related issues, and testing new system features and releases. Additionally, you will mentor the Data Integration team in Chennai and collaborate on the design, development, testing, and implementation of integrations. To excel in this role, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or Management Information Systems. Proficiency in SQL database querying, data warehouses, and business intelligence tools is essential. Strong analytical skills, familiarity with statistical packages, and experience with tools like Snowflake, Power BI Desktop, or Tableau are advantageous. Chatham Financial, a leading financial risk management advisory and technology firm, values its employees and offers professional growth opportunities. With a focus on teamwork, integrity, and client service, Chatham provides a supportive work environment where you can collaborate with subject matter experts and make a meaningful impact every day. If you are a skilled Data Integration professional looking to advance your career in a dynamic and inclusive workplace, consider joining Chatham Financial as a Lead Data Integration Engineer.,

Posted 1 day ago

Apply

Manager, Data Scientist and Machine Learning Engineer Ocwen Financial Solutions Pvt. Ltd. - APAC

1.0 - 5.0 years

0 Lacs

karnataka

On-site

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

Posted 1 month ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.