Aiml Validation

Job Title AIML Validation
Location: Noida

About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly
We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.
If you would like some flexibility, then please discuss this with the hiring manager.

Introduction:
To validate Machine learning based (ML AI) models and Retail models across the bank. This will involve working on multiple portfolios and ML techniques like tree, boosting, bagging, KNN, regularized regression, NLP, unsupervised techniques etc

What will you be doing?
- Interact with model stakeholders and communicate findings
- Evaluate models and present findings to leadership
- Assist team members in validation

What we’re looking for:

- Masters In stats, eco, mba (Tier I/II) or Engineering degree from good institute with 5+ years of experience
- Understanding of ML techniques (like tree, boosting, bagging, KNN, regularized regression, NLP, etc)
- Understanding of predictive modelling process end to end. Hands on experience developing or validating ML models
- Programming language - Python (must), SAS

Skills that will help you in the role:

- Retail Model Development/Validation exp (Good to have)

Where will you be working?
Noida

Be More at Barclays
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.

Purpose, Values and Mindset

We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.
Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.

Respect
We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone's contribution.

Integrity
We operate with honesty, transparency and fairness in all we do.

Service
We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.

Excellence
We champion innovation, and use our energy, expertise and resources to make a positive difference.

Stewardship
We prize sustainability, and are passionate about leaving things better than we found them.
Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do; our Mindset is to Empower, Challenge and Drive.

Empower
Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.

Challenge
Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve. Speak up and be open to alternative viewpoints.

Drive
Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.