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Asset & Wealth Management - Quantitative Engineering - Associate - London

at Goldman Sachs

Back to all Data Science / AI / ML jobs
Goldman Sachs logo
Bulge Bracket Investment Banks

Asset & Wealth Management - Quantitative Engineering - Associate - London

at Goldman Sachs

JuniorNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Join the Private Equity Data Science team to design, develop and implement quantitative and data-driven models across the investment lifecycle, including origination, due diligence and portfolio value creation. You will partner closely with Deal Teams, portfolio company management and GS Engineering to build data-centric tools and deliver actionable analyses under tight timelines. The role emphasizes applied ML/DS techniques, handling large datasets, and translating insights into commercial impact. A strong quantitative background and excellent communication skills are required.

Asset & Wealth Management - Quantitative Engineering - Associate - LondonLondon, Greater London, England, United Kingdom
Opportunity Overview
CORPORATE TITLEAssociate
OFFICE LOCATION(S)London
JOB FUNCTIONQuantitative Engineering
DIVISIONAsset & Wealth Management

The role:

Join our Private Equity Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of quantitative and data-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Private Equity Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.

 

Key Responsibilities:

  • Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value.
  • Partner with Deal Teams to define and deliver data-driven origination initiatives 
  • Deliver quantitative analyses through investment due diligence; translating complex data into comprehensive analyses assessing potential risk and opportunities in tight timelines
  • Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation
  • Partner with GS Engineering to lead development and implementation of data-centric tools, enhancing our investment processes and supporting our deal and fundraising teams
  • Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's AI capabilities

 

Qualifications, experience, and attributes:

  • PhD or equivalent in a quantitative field such as Mathematics, Computer Science, Physics or in a related field
  • 2+ years of relevant experience applying quantitative methods to commercial problems
  • Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn)
  • High-level of proficiency in mathematics, statistics, and data science theory
  • Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights
  • Commercial experience with a strong track record of quantitative problem solving and realised commercial impact
  • Excellent written and verbal communication and collaboration skills with a strong growth mindset

 
ABOUT GOLDMAN SACHS

 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

 
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

 

 
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Goldman Sachs Benefits
Healthcare & Medical Insurance
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.

Asset & Wealth Management - Quantitative Engineering - Associate - London

at Goldman Sachs

Back to all Data Science / AI / ML jobs
Goldman Sachs logo
Bulge Bracket Investment Banks

Asset & Wealth Management - Quantitative Engineering - Associate - London

at Goldman Sachs

JuniorNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Join the Private Equity Data Science team to design, develop and implement quantitative and data-driven models across the investment lifecycle, including origination, due diligence and portfolio value creation. You will partner closely with Deal Teams, portfolio company management and GS Engineering to build data-centric tools and deliver actionable analyses under tight timelines. The role emphasizes applied ML/DS techniques, handling large datasets, and translating insights into commercial impact. A strong quantitative background and excellent communication skills are required.

Asset & Wealth Management - Quantitative Engineering - Associate - LondonLondon, Greater London, England, United Kingdom
Opportunity Overview
CORPORATE TITLEAssociate
OFFICE LOCATION(S)London
JOB FUNCTIONQuantitative Engineering
DIVISIONAsset & Wealth Management

The role:

Join our Private Equity Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of quantitative and data-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Private Equity Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.

 

Key Responsibilities:

  • Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value.
  • Partner with Deal Teams to define and deliver data-driven origination initiatives 
  • Deliver quantitative analyses through investment due diligence; translating complex data into comprehensive analyses assessing potential risk and opportunities in tight timelines
  • Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation
  • Partner with GS Engineering to lead development and implementation of data-centric tools, enhancing our investment processes and supporting our deal and fundraising teams
  • Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's AI capabilities

 

Qualifications, experience, and attributes:

  • PhD or equivalent in a quantitative field such as Mathematics, Computer Science, Physics or in a related field
  • 2+ years of relevant experience applying quantitative methods to commercial problems
  • Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn)
  • High-level of proficiency in mathematics, statistics, and data science theory
  • Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights
  • Commercial experience with a strong track record of quantitative problem solving and realised commercial impact
  • Excellent written and verbal communication and collaboration skills with a strong growth mindset

 
ABOUT GOLDMAN SACHS

 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

 
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

 

 
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Goldman Sachs Benefits
Healthcare & Medical Insurance
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.