Explore Jobs and Careers
Welcome to bluCognition – where innovation meets expertise in data and risk management. At bluCognition, we believe in harnessing the power of data to navigate the complexities of risk, empowering our clients to make informed decisions that drive their success. bluCognition is an equal opportunity employer and celebrates diversity to ensure an inclusive environment for all employees. We are a dynamic and forward-thinking team and always on the lookout for talented individuals to join us on this exciting journey. Trust us to find the right opportunity for you.
Open Positions
Technology
AI/ML Engineer
Shift - Day/Fixed
Location - Remote/Hybrid
We are seeking a highly motivated AI/ML Engineer to join our Emerging Technology Practice. In this role, you will design, develop, and deploy advanced AI/ML and Generative AI solutions that address real-world business challenges.
We are seeking a highly motivated AI/ML Engineer to join our Emerging Technology Practice. In this role, you will design, develop, and deploy advanced AI/ML and Generative AI solutions that address real-world business challenges. You will work closely with business stakeholders, data scientists, and engineering teams to translate problem statements into robust, production-ready AI systems. This role is ideal for a hands-on AI/ML professional who enjoys working across the full model lifecycle from experimentation to deployment.
- Design and develop AI-powered solutions using traditional Machine Learning and Generative AI techniques, including prompt engineering, fine-tuning, and embeddings.
- Build intelligent AI applications that support analytical, decision-making, and interactive use cases.
- Develop and maintain end-to-end data pipelines for data ingestion, transformation, validation, and quality assurance to support model training and inference.
- Support experimentation, prototyping, and iterative improvement of AI models across different stages of solution maturity.
- Implement evaluation, monitoring, and observability mechanisms to assess model accuracy, performance, drift, reliability, and generative output quality.
- Collaborate with software engineers, data scientists, and solution architects to ensure effective design and smooth transition of AI solutions into production.
- Contribute to deployment workflows and operationalization of AI models in partnership with engineering and platform teams.
- Stay up to date with the latest advancements in Machine Learning, Generative AI, evaluation methodologies, and emerging AI tools and frameworks.
- 2-4 years of hands-on experience in AI/ML development, data science, or intelligent application development.
- Strong proficiency in Python and experience with modern ML/AI libraries such as scikit-learn, PyTorch, TensorFlow, and GenAI frameworks/APIs.
- Solid understanding of machine learning fundamentals, including model training, validation, performance tuning, and evaluation.
- Practical experience with Generative AI workflows such as prompt design, embeddings, and output evaluation.
- Ability to work in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
- Strong problem-solving skills and ability to work in evolving, unstructured environments.
- Bachelor's degree in Engineering (Computer Science or related field).
- Experience building APIs or backend services using frameworks such as FastAPI or Django is a plus.
- Familiarity with vector databases, retrieval-based techniques (RAG), and similarity search is a plus.
- Exposure to MLOps practices, CI/CD pipelines for model delivery, and model monitoring is desirable.
- Strong written and verbal communication skills.
Analytics and Data Science
Risk / Data Analytics - Intern
Shift - Fixed, Day Shift
Location - Remote
This internship role involves supporting the development of risk and data analytics solutions by analyzing financial datasets, identifying trends, and contributing to risk mitigation and portfolio strategies.
This internship role involves supporting the development of risk and data analytics solutions by analyzing financial datasets, identifying trends, and contributing to risk mitigation and portfolio strategies. The intern will collaborate with cross-functional teams including data science and product to build reports, scorecards, and assist in model development while ensuring timely delivery of analytical projects. The position requires strong quantitative skills, proficiency in tools like SQL/Python/R, problem-solving ability, and effective communication in a fast-paced environment.
- Delivering risk and/or analytic solutions in the financial services industry
- Working with stakeholders across product management, data science, and engineering and driving implementation of risk and data analytic strategies
- Managing challenging time constraints and ensuring on-time delivery of projects
- Developing and generating management reports for portfolio monitoring
- Collecting data, analysing, and identifying key differentiating indicators for segmentation and for driving effective risk mitigation and/or marketing strategies.
- Working closely with partner teams in identifying, evaluating, and recommending new data that helps in overall risk and marketing strategies.
- Analyzing portfolio trends and simulating risk and marketing strategies
- Working closely with data science team on model building and deployment
- Building scorecards that leverage both internal performance data and external performance data
- Performing analysis, developing strategies and crafting presentations that help articulate strategy for the leadership team.
- A quantitative background in engineering, statistics, math or economics or related disciplines.
- Knowledge of database query language (e.g. SQL) and developer tools such as Python, R, databricks in a finance or analytics field.
- Prior model building experience is a plus but not critical.
- An analytical mindset and strong problem-solving skills, attention to detail and ability to multitask.
- The ability to work in a fast-paced environment and to deal with ambiguity.
- Strong communication, interpersonal and presentation skills; ability to engage and collaborate with multiple stakeholders across teams.
Analytics and Data Science
Senior Data Analyst - Finance & Accounting
Shift - Fixed, Day Shift
Location - Remote
We are seeking a Senior Data Analyst with a strong background in Finance and Accounting analytics to join our Data & Analytics team.
We are seeking a Senior Data Analyst with a strong background in Finance and Accounting analytics to join our Data & Analytics team. This role will partner closely with Finance, Accounting, and cross-functional stakeholders to deliver high-quality insights, robust reporting, and data models that support decision-making and operational excellence. The ideal candidate has 5+ years of experience, is highly proficient in SQL, and has hands-on expertise with Tableau (preferred) or Power BI. You enjoy working with complex financial data, building scalable reporting, and translating business questions into clear, data-driven recommendations.
- Partner with Finance and Accounting stakeholders to understand business questions, reporting needs, and analytical requirements.
- Design, build, and maintain SQL-based datasets, views, and queries to support recurring and ad hoc analysis.
- Develop, enhance, and maintain dashboards and reports in Tableau (preferred) or Power BI, ensuring they are accurate, reliable, and user-friendly.
- Support month-end and quarter-end close processes with reconciliations, variance analyses, and operational reporting as needed.
- Analyze financial and operational data to identify trends, anomalies, and opportunities for process improvement, cost optimization, and revenue growth.
- Collaborate with data engineering and analytics teams to improve data models, data quality, and documentation across Finance/Accounting domains.
- Translate complex findings into clear narratives and recommendations for non-technical stakeholders, including presentations and written summaries.
- Contribute to the design and implementation of automation and standardization for recurring Finance/Accounting reporting and metrics.
- Ensure that reports and analyses adhere to controls, data governance, and audit/SOX requirements where applicable.
- 5+ years of professional experience in a Data Analyst, Business Intelligence, or Analytics role.
- Strong hands-on expertise with SQL (complex joins, CTEs, window functions, performance tuning). Familiarity with dbt Cloud concepts is a plus.
- Experience developing and maintaining dashboards and reports in Tableau (preferred) or Power BI.
- Demonstrated experience working with Finance or Accounting data (e.g., P&L, balance sheet, cash flow, GL, revenue, expenses, AR/AP, write-offs, reconciliations).
- Strong analytical and problem-solving skills, with the ability to structure ambiguous problems and drive to actionable insights.
- Proven ability to work with non-technical stakeholders, gather requirements, and translate them into effective data solutions.
- Excellent written and verbal communication skills, with the ability to explain complex topics in simple terms.
- Bachelor's degree in Finance, Accounting, Economics, Statistics, Mathematics, Data Analytics, Computer Science, or a related field (or equivalent practical experience).
- Experience supporting a FP&A, Controllership, or Accounting team in a high-growth or technology environment.
- Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stacks.
- Experience with version control (e.g., Git) and/or workflow orchestration tools is a plus.
- Exposure to SOX, internal controls, or audit processes related to financial reporting.
- Basic proficiency in Python or R or advanced analytics, if needed.
- High attention to detail and commitment to data quality.
- Comfortable operating in a fast-paced, dynamic environment with shifting priorities.
- Collaborative mindset with a strong sense of ownership and accountability.
- Curious, proactive, and motivated to improve processes and build scalable solutions.
Operations
Analyst - Fraud Ops & AML Review
Shift - Rotational
Location - Remote
This role focuses on monitoring and analyzing customer transactions to detect, investigate, and prevent fraud across various risk types such as payment fraud, account takeover, and first/third-party fraud.
This role focuses on monitoring and analyzing customer transactions to detect, investigate, and prevent fraud across various risk types such as payment fraud, account takeover, and first/third-party fraud. The analyst will review high-risk activities, interact with customers for verification, perform due diligence (KYC/KYB, CDD, EDD), and recommend system improvements to strengthen fraud controls and reduce financial losses. It requires strong analytical skills, attention to detail, and effective communication with global stakeholders.
- Monitor and identify high risk transactions within the business portfolio.
- Observe customer transactions to identify fraudulent activity such as payment fraud, First/third party fraud, account take over, friendly fraud, theft and similar other risks.
- Identify fraudulent transactions and cancel them from further processing.
- Resolve queued transactions within the service level agreements to reduce potential revenue losses.
- Interact with customers to validate information and to confirm or cancel authorizations.
- Monitor constantly customer and transactional records to identify unauthorized transactions and fraudulent accounts.
- Ensure confidentiality of all information collected during investigation.
- Determine existing fraud trends by analysing accounts and transaction patterns.
- Identify system improvements to prevent fraudulent activities.
- Recommend anti-fraud processes for changing transaction patterns and trends.
- Maintain fraud analysis models, trackers to improve efficiency and effectiveness of company systems.
- Maintain the performance as per KRA.
- Undertake other responsibilities as may be assigned/approved by management from time to time.
- Conduct thorough initial, ongoing, and enhanced due diligence investigations and analysis of customers, corporate entities, and business partners to ensure compliance with KYC/KYB policies, CDD, EDD, and regulatory standards.
- 3+ year experience in Fraud Investigation is preferrable.
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficient in MS Office.
- Bachelor's Degree in related field like accounting, economics, business management, statistics, etc.
- Good communication skills, with proficiency in English and to be able to communicate with the US based client directly.
Diversity, Equity and Inclusion at bluCognition
At bluCognition, Diversity, Equity, and Inclusion (DE &I) are not just buzzwords – they are fundamental principles that shape our identity, drive innovation and contribute to the success and well-being of our entire workforce. We are committed to cultivating a robust culture of DE&I that permeates every aspect of our operations. We recognize that embracing diversity goes beyond mere representation; it is about creating an environment where every individual feels valued, included, and empowered to contribute their unique perspectives.