Sr Data Scientist

Hi, Good Morning. Hope you are doing good. This is Sandeep from Thought Wave, Am a technical recruiter. Please find the below JD and let me know if your comfortability and availability to discuss further.

Position: Sr Data Scientist Long term project Location: Remote

Job Description: We're looking for a passionate Senior Data Scientist with great technical skills for our Auto Consumer Asset Management group. This person will report to the Director of Data Science for consumer asset management, with responsibilities of (1) supporting through-the-cycle predictive analytics for collection strategy & consumer risk (2) applying data science techniques (Decision Trees, Clustering etc.) to identify key drivers of customer payment behavior and optimize collection treatment for delinquency (3) processing and analyzing massive external data (e.g. credit bureau, data vendors) to support ML/Risk Modeling solutions for account management optimization.

The ideal candidate should be passionate about data science and consumer risk analytics for banking & financial services. Strong Snowflake SQL and Python programming skill is a must. Do you have a focus on predicting customer behavior, managing portfolio risk, strong analytical skills, and a desire to make an impact? If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading.

Key Responsibilities include:

1. Support complex business optimization projects via predictive analytics (e.g., customer segmentation, clustering) for Ally auto finance asset portfolio management; Independently prepare and analyze large, account-level consumer data from internal and external sources to identify customer behavior and strong risk indicators for Ally auto finance consumer
2. Support the implementation of Ally collection treatment optimization solution (what delinquent customers should receive which collection treatments by when).
3. Ability to think strategically, use sound judgement, and balance short and long-term risk decisions; Strong communication and collaboration skills; ability to work effectively across multiple team
4. Understanding of risk management concepts and key performance drivers within consumer lending portfolios; Perform ad-hoc analysis, prepare crisp summary, and deliver recommendation
5. Managing projects of various size/complexity and day-to-day tasks independently in fast paced environment; Mentor junior members in the team

The Skills You Bring

3-5 years financial risk analytics, data science and/or predictive modeling work experience Bachelor’s Degree Preferred in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics) Minimum 3 years of hands-on experience working with large, consumer account-level datasets using SQL (ideally Snowflake) and Python programming Good knowledge of statistics and data mining (e.g., Correlation, Regression, Decision Tree segmentation), and programming skills with exploratory data analysis using Python. Knowledge of R or SAS are preferred. Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders Highly self-motivated, with the ability to work effectively in fast paced environment Preferred Qualifications:

Experience in loan-level predictive data mining for consumer finance industry Experience with supervised and unsupervised machine learning techniques using Python or other statistical programming packages such as R, SAS, MATLAB Master's degree in a quantitative field