Knowledge Analyst - Risk Dynamics

What you will do:
You will be based out of our Gurugram office and will work with our Risk Analytics team, part of our Global Risk & Resilience practice and will help clients on topics at the intersection of risk and analytics more specifically, credit risk, market and trading risk, non-financial risk and ERM and model risk management.
You will help clients to create a sustainable impact and capabilities in the areas of risk and resilience. From core regulatory capital and risk models to business decision analytics and model risk management, we create value by improving performance across broad spectrum of topics.
Your team consists of risk specialists, quantitative experts, and business professionals, empowering us to offer our clients a unique variety of skills in risk management, business and regulatory compliance.
You will work closely with clients to identify opportunities, mitigate risks, and build long-term organizational resilience through data-driven approaches and structured frameworks. Your work involves applying advanced modeling techniques and AI technologies to quantify risk exposures, evaluate strategic options, and support scenario planning and stress-testing.
You will develop and validate models and frameworks that integrate AI to deliver deeper insights and predictive capabilities, while leveraging AI code assistants, agentic workflows, and advanced analytics to enhance decision-making, operational efficiency, and risk mitigation. In addition, you will embed AI into operational workflows and decision-making processes to strengthen governance and enterprise risk management practices.
You will guide clients through complex challenges, driving efficiency and innovation through modern analytics adoption, and equipping them with the capabilities to respond to disruptions, build contingencies into their strategies, and institutionalize resilient, enterprise-wide risk management.

Who you will work with:
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters:
From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits:
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your background:
Master's degree in a quantitative field; advanced degree in computer science, mathematics/statistics, engineering or financial engineering
Industry qualifications including CFA, FRM, PRM or similar
1+ years of related experience in advanced quantitative modeling techniques
Experience with AI agents, agentic technologies, or GenAI/LLM applications
Experience in one or more machine learning / AI areas: natural language processing, deep learning, anomaly detection, graph-based techniques
Experience in Modeling: Advanced quantitative modeling, predictive modeling, stress-testing, scenario planning
Experience with Python, advanced SQL, PyTorch, Tensorflow, Spark, Kafka, Docker, FastAPI, Git and cloud (AWS/GCP)
Ability to work collaboratively in a team and drive independent workstreams within broader team projects
Willingness to travel