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Job Description We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview: As a t Senior Associate, AI & Quantitative Solutions at StepStone, you will play a pivotal role at the intersection of quantitative finance and cutting-edge artificial intelligence. This position is central to researching, developing, and implementing AI/Machine Learning solutions across the firm, particularly focusing on Private Equity secondaries use cases and the development of advanced quantitative models. You will transform how we manage portfolios, conduct research, and generate insights. Leveraging diverse data, including complex unstructured formats from private market reporting, to build predictive models and streamline analytical processes that benefit both internal teams and our global client base. This role entails leading initiatives in model testing, validation, and deployment within our liquidity management and portfolio construction frameworks, aligning bespoke solutions with diverse client needs and complex risk/return profiles. You will be a key collaborator with our Data Science, Research, and SPAR teams, driving the acquisition, robust cleaning, and deep understanding of critical data fields to enable advanced AI applications. Essential Job Functions: • AI/ML Model Development & Research: Design, develop, train, and validate advanced AI and Machine Learning models (including Natural Language Processing applications) to solve complex problems in portfolio construction, liquidity management, risk modeling, and performance attribution., • Data Engineering for AI Pipelines: Utilize Python, SQL (MySQL), and R for advanced data retrieval, cleaning, transformation, and feature engineering, optimizing data for AI consumption across various sources, including unstructured private market reports (e.g., PDF parsing)., • Model Deployment & MLOps: Collaborate closely with the web development group to integrate and deploy AI/ML solutions into production environments., • Quantitative Research & Backtesting: Conduct rigorous quantitative research, model backtesting, and scenario analysis to assess model performance, robustness, and limitations against varied financial problem statements., • Communication & Collaboration: Effectively communicate complex AI model outputs, assumptions, limitations, and strategic implications to both technical and non-technical stakeholders, including senior management and external clients. This involves fostering strong relationships with key internal teams, by actively listening to their needs, and proactively identifying how technology can enhance their workflows and adoption. Engage in thought leadership regarding the merits of new AI applications and analytical approaches., • Innovation & Strategic Impact: Demonstrate an independent and efficient working style, consistently translating high-level strategic ideas and business challenges into actionable, AI-driven solutions and model outputs that deliver tangible impact across the firm., • Continuous Learning: Stay abreast of the latest advancements in AI, machine learning, and quantitative finance, proactively identifying opportunities for their application within private markets. Qualifications:, • Bachelors, Master's degree or Ph.D. in a highly quantitative field such as Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Econometrics, or a related discipline., • 6-8 years of experience in quantitative research, AI/Machine Learning model development, risk modeling, portfolio construction, or performance attribution at a financial institution., • Excellent written communication and presentation skills, with the ability to articulate complex technical concepts to a diverse audience., • Willingness to work a flexible schedule., • High level of confidentiality.Required Knowledge, Skills, and Abilities:, • Deep proficiency in Private Market investments and advanced financial modeling, including quantitative model development and application., • Expertise in machine learning and deep learning algorithms, statistical modeling, Natural Language Processing (NLP), and numerical algorithms., • Advanced proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL. Experience with AI/ML lifecycle platforms (e.g., Kubeflow, AWS SageMaker, Azure ML) and MLOps best practices for model versioning, testing, and deployment. Salary Range: $125,000 - $145,000 The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees. At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Candidates must be at least 18 years old to apply. Developing People at StepStone

Job DescriptionScismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a “builder’s mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment. The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries. Ideal Candidate Profile You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential. Equal Opportunities Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.Responsibilities: • Lead client workshops and discovery sessions to identify NLP opportunities, • Develop and present technical proposals to C-level executives, • Manage multiple client projects simultaneously while maintaining quality and timelines, • Design and implement novel NLP solutions for complex business problems, • Architect scalable solutions for processing and analyzing large text corpora, • Build custom language models tailored to each client's unique industry challenges, • Automate repetitive analytical tasks and develop reusable algorithmic frameworks, • Mentor junior data scientists and provide technical guidance on NLP projects, • Develop automated content analysis, document processing, and customer insight systems, • Create scalable text analytics platforms that drive measurable business outcomes, • Work across retail, finance, healthcare, and media sectors, • Translate complex AI capabilities into clear business value propositionsTechnical Environment:, • Languages: Python (primary), R, SQL, potentially C++ for optimization, • ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, • Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure), • Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databasesRequired Qualification:, • PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field, • Minimum 5 years of professional experience in data science, machine learning, or related roles, • Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques, • Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale, • Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem, • MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments, • Experience writing production code and ensuring well-managed software delivery, • Experience with foundation models (GPT, BERT, T5, LLaMA, etc.), • Knowledge of retrieval-augmented generation (RAG) systems, • Understanding of model compression techniques (quantization, distillation, pruning), • Experience with evaluation metrics and benchmarking for language modelsPreferred:, • Experience in consulting or client-facing technical roles, • Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis), • Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML), • Open-source contributions to major ML/NLP librariesBenefits:, • Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks, • Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance), • Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays), • Four-week sabbatical every five consecutive years of employment, • Exceptional parental leave benefits, • Global mentorship and networking programs, • Monthly cell phone reimbursement, • 401k savings and employee stock purchase plan, • Volunteer hours (20 hours annually) for designated non-profit partner and personal choice, • Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee), • Career growth opportunities (multi-day customized trainings for each level)Equal Opportunities:, • Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer., • In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location., • In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.