We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Data Scientist Associate Senior - Machine Learning Engineer in the Corporate & Investment Bank, Payments Technology, you will have the opportunity to manipulate large data sets and build statistical models. you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience manipulating data sets and building statistical models. Strong in Statistics and probability: very well versed with : Probability distributions, Over and under sampling, Bayesian and frequentist statistics, Dimension reduction, Linear regression, Clustering, Decision Trees
• Proficient in coding in one or more languages. Strong Programming skills using Python, Java, Java Scripts
• Develop custom ML models and algorithms to apply to data sets and hands on experience in building various ML models like: Linear regression, Logistic regression, Naive Bayes, Decision tree, Random forest algorithm, K-nearest neighbor (KNN), K means algorithm, Ensemble models, Simulation, Scenario Analysis
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Strong in Data wrangling and database management which involves process of cleaning and organizing complex data sets to make them easier to access and analyze. Manipulating the data to categorize it by patterns and trends, and to correct and input data values can be time-consuming but necessary to make data-driven decisions. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop company A/B testing framework and test model quality. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Strong knowledge on AWS services.