Model Risk Tool Validation, Analyst, Firm Risk Management

CFA Institute; Mumbai; On-site; INR 6,00,000 - 12,00,000; Full time

Job summary

A leading financial services firm is seeking an Analyst for Model Risk Tool Validation in Mumbai. The ideal candidate will possess a Master's or Doctorate in a quantitative discipline and have experience in validation or development of financial models. Proficiency in Python and strong communication skills are key. This role offers competitive benefits and the opportunity to work in a dynamic, collaborative environment.

Benefits

Comprehensive employee benefits

Dynamic work environment

Opportunities for professional growth

Qualifications

• 0-3 years of experience in Model/Tool Validation role.
• Experience in a relevant quantitative discipline is essential.
• Knowledge of machine learning techniques preferred.

Responsibilities

• Provide independent review and validation of models.
• Communicate results to internal and external stakeholders.
• Follow financial markets and business trends.

Skills

Statistical techniques

Proficient in Python

Strong written & verbal communication

Willingness to learn

Education

Masters or Doctorate in quantitative discipline

Tools

Python

R

MATLAB

Job description

Overview

Morgan Stanley — Model Risk Tool Validation - Analyst

Profile Description

We're seeking someone to join our team as an Analyst to Model Risk Tool Validation - Risk & Capital.

Firm Risk Management

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives.

Company Profile

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role

The primary responsibilities of the role include, but are not limited to the following:

1. Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of tool methodology, tool limitations, data quality, and on-going monitoring of tool performance.
2. Take initiatives and responsibility of end-to-end delivery of a stream of Tool Validation and related Risk Management deliverables.
3. Write Tool Review findings in validation documents that could be used for presentations both internally (tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators).
4. Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management.
5. Represent MRM team in interactions with regulatory and audit agencies as and when required.
6. Follow financial markets & business trends on a frequent basis to enhance the quality of Tool Validation and related Risk Management deliverables.

What you'll bring to the role

Qualifications Skills required (essential / preferred)

• Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential.
• Experience in a Quant role in validation of Models / Tools, in developments of Models / Tools or in a technical role in Financial institutions e.g. Developer, is preferred.
• Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred.
• 0-3 years of relevant work experience in a Model / Tool Validation role in a bank or financial institution.
• Proficient programmer in Python; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred.
• Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred.
• Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred.
• Knowledge of popular machine learning techniques is preferred.
• Relevant professional certifications like CQF, CFA or progress made towards it are preferred.
• Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential.

What you can expect from Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.