채용

Lead Data Scientist (Gen AI)_Vice President_Software Engineering
Bengaluru, Karnataka, India
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On-site
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Full-time
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4d ago
We're seeking someone to join our Cyber Data Risk & Resilience team as Lead Data Scientist (Gen AI)in Non-Financial Risk Technology division to build and execute complex surveillance models and scenarios that focuses on monitoring and enforcing the firm's information barriers.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
The Information Controls technology team, under Non-Financial Risk Technology group, builds and executes complex surveillance models and scenarios that focuses on monitoring and enforcing the firm's information barriers.
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:
Threat Hunt is looking for an experienced Data Scientist to join our global team. Threat Hunts mission is to seek out attacks against the Morgan Stanley network, to engineer detection strategies, and to reduce risk to Morgan Stanley assets. As a new Threat Hunt Data Science VP you will be tasked with developing and maintaining cutting edge analytic models and detections to help defend Morgan Stanley networks.
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Strong quantitative and problem-solving skills; proficiency working with large datasets, data mining,
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statistical methods, segmentation method, algorithm design and implementation. Ability to analyse large,
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complex, multidimensional datasets with a variety of tools
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Experience of software development experience using Python, Py Spark, Elastic and Kibana and experience working with GPUs.
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Leverage expertise in systems and data analysis to work through the Analytic Development Lifecycle to detect
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anomalous activity.
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Develop, deploy and sustain Machine learning capabilities focused on Proactive Threat Hunting and Insider Threat detection.
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Contribute expertise in any/all the following: threat hunting, threat intelligence, malware analysis and/or data analysis to a global team.
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Self-motivated individual and creative thinker who will take ownership of tasks and projects, able to work with the team, and manage time and tasks effectively and independently
What You'll Get to Do:
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Analyse data from host, network- and file-based data to develop models associated with cyber tactics, techniques and procedures.
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Evaluate threats and countermeasures along with architecture to understand impact to enhance the overall security posture of the Firm.
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Leverage a lot of different technology in a very high paced team.
What you'll bring to the role:
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Overall 12+ years of experience with minimum 8 years of experience directly in building models using Machine learning and AI and 2 + Years of Working in GenAI and LLMs.
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Significant experience leading a team of technical individuals, preferably in a global environment.
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Ability to work with customers, gather requirements and distil them into complete solutions.
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Practitioner experience with analysing host, file, or network-based logs to filter known versus unknown with a goal of finding malicious activity.
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Experience working with large data sets.
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Strong experience with analytic techniques using primarily Open-Source tools and development.
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Experience with and desire to write Python
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
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Morgan Stanley 소개

Morgan Stanley
PublicMorgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.
10,001+
직원 수
New York
본사 위치
$150B
기업 가치
리뷰
3.2
10개 리뷰
워라밸
2.5
보상
2.8
문화
3.8
커리어
3.2
경영진
3.5
45%
친구에게 추천
장점
Nice and welcoming people/coworkers
Good career foundation and growth opportunities
Great management and benefits
단점
Limited conversion to full-time positions
Poor compensation for junior employees
High turnover and branch politics
연봉 정보
6,255개 데이터
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L3
0개 리포트
$130,639
총 연봉
기본급
-
주식
-
보너스
-
$111,043
$150,235
면접 경험
5개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 80%
부정 20%
면접 과정
1
Application Review
2
HR Screen/HireVue
3
Technical Interview
4
Superday/Final Round
5
Offer Decision
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Finance/Investment Concepts
Case Study
Culture Fit
뉴스 & 버즈
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4d ago
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·
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News
·
4d ago