Urgent hiring-AML Model Development- Bangalore, Gurgaon
- Genpact
- 3 - 8 years
- Noida, Gurugram
- 6 days ago
- Email to a friend
- Report this job
Job Description
Ready to shape the future of work?
At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. Now, we are calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it.
Inviting applications for the role of Model Validation analyst, Analytics (Manager/ Assistant Manager)
Responsibilities
In this role, the candidate would be required to carry out end-to-end validation of credit risk models including the evaluation of the models from qualitative and quantitative standpoint and summarizing the findings in a report.
Responsibilities
- Evaluate adequacy of theoretical framework and model design. Conduct research as required and provide supporting materials (white papers/ Fed/ OCC publications) to either support or reject a modeling framework
- Familiarize oneself with applicable banking regulations for assessing capital adequacy, stress testing, provisioning etc. CCAR, CECL
- Evaluate accuracy and support for key assumptions and data
- Conduct replication of model results to confirm accuracy of model code and processing accuracy and capacity
- Conduct review of SAS, Python or R codes and write new codes for statistical tests
- Conduct sensitivity and back testing analysis. The sensitivity analysis would include sensitivity of model results to changes in parameters and data inputs
- Assess limitations of model results for its intended use
- Adequacy of model documentation
- Prepare model validation report summarizing findings and providing recommendations
- Participate in exit meetings and provide assistance and support in explaining findings to business stakeholders
- Communicate with client stakeholders on regular basis to discuss project progress and analysis outputs
Qualifications
Minimum qualifications:
- Masters degree in a quantitative discipline, with relevant experience in quantitative data analytics and modeling
Minimum skills:
- Experience in design of Statistical models using regression (linear/logistic/GAM), optimization, time series, survival modeling techniques
- Proficient in SAS for data mining and model development
- Agile development and delivery
- Proactive in approach
- Very strong analytical skills
- Ability to manage & prioritize high quality deliverables
- Must have right attitude and level of flexibility
- Strong team player
- Able to work within tight deadlines, multi-task and deliver on commitments
- Should have strong consulting mindset to engage with Global senior stakeholders
Preferred Skills/Qualifications:
- Model Development experience in banking and capital markets domain
- Understanding of US banking regulations on Capital, Provisioning Basel, CCAR, CECL and experience of developing or validating regulatory models preferred
- Prior experience in data science delivery roles
- Hands-on experience in Python or R
- Proficiency in advanced Excel macros/VBA
Why join Genpact?
- Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation
- Make an impact Drive change for global enterprises and solve business challenges that matter
- Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities
- Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: GenpactLocation(s): Noida, Gurugram
Keyskills: Credit Risk Model Development Python Basel PDCA IFRS
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in