You are an innovative thinker passionate about driving AI/ML solutions in financial planning and analysis. You have found the right team.

As an Applied AI/ML Lead in our Firmwide Planning & Analysis (FP&A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities for our firm. You will be responsible for partnering across the organization to provide AI/ML-based solutions, oversight, and coordination of advanced analytical techniques. Our Data Science Center of Excellence (COE) teams are responsible for a wide range of activities including analyzing business problems, experimenting with statistical and machine learning models, developing solutions with state-of-the-art machine learning and deep learning algorithms, and advising cross-functional teams on how to enhance productivity and efficiencies.

Job Responsibilities

Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc. Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap.  Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Communicate findings and insights through clear and concise visualizations and reports. Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&A organization. Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization. Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity. Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.

 Required qualifications, capabilities, and skills.

MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.  Minimum 3 years of experience in data science, machine learning, or a related role.  Proficiency in programming languages such as Python or R. Experience with LLMs and Prompt Engineering techniques.   Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. 

Preferred qualifications, capabilities and skills

Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models. Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations. Experience in leading a team and/or supervising and mentoring junior analysts.