Macro-Economic Quantitative Researcher
Current
Aug 2014 - Present
AeroLeads people directory · profile
Daniel Lam Email & Phone Number
Macro Quantitative Researcher
at
Bloomberg LP
1 work email found
@bloomberg.com
3 phones found area 646, 212, and 810
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Macro Quantitative Researcher
Location
New York, New York, United States
Who is Daniel Lam? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Daniel Lam is listed as Macro Quantitative Researcher at Bloomberg LP, based in New York, New York, United States. AeroLeads shows a work email signal at bloomberg.com, phone signal with area code 646, 212, 810, and a matched LinkedIn profile for Daniel Lam.
Daniel Lam previously worked as Macro-Economic Quantitative Researcher at Bloomberg Lp and Quantitative Global Macro and Customized Solutions Research at Qs Investors, Llc. Daniel Lam holds Master Of Science (M.S.), Mathematics In Finance from New York University, Courant Institute Of Mathematical Sciences.
Company email context
Email format at Bloomberg LP
This section adds company-level context without repeating Daniel Lam's masked contact details.
{first_initial}{last}@bloomberg.com
86% confidence
AeroLeads found 1 current-domain work email signal for Daniel Lam. Compare company email patterns before reaching out.
Profile bio
About Daniel Lam
Quantitative research in global macro, multi-asset customized solutions, portfolio construction, and risk management.
Listed skills include Hedge Funds, Asset Allocation, Quantitative Finance, Equities, and 19 others.
Current workplace
Daniel Lam's current company
Company context helps verify the profile and gives searchers a useful next step.
5 roles
Daniel Lam work experience
A career timeline built from the work history available for this profile.
Quantitative Global Macro And Customized Solutions Research
- Build models and tools for global tactical and strategic asset allocation across stocks, bonds, currencies, commodities, and alternative assets
- Research and design multi-asset customized solutions for clients with specific requirements
- Apply quantitative techniques to construct liquid portfolios with diversified exposures to a range of alternative risk premia
- Research and apply Bayesian inference technology to evaluate and allocate to funds
- Research the appropriate objective to pursue in retirement and life-cycle portfolios
Sep 2011 - Aug 2014
Head Of Quantitative Research
Third Wave Global Investors
- Developed and built quantitative models to estimate expected return and risk characteristics of global markets, construct optimized portfolios, and trade a systematic futures and ETF portfolio in a global macro hedge.
- Provided quantitative analysis and tools to enable and support discretionary trading
- Researched and implemented risk estimation and analysis for a portfolio integrating systematic and discretionary positions
- Oversaw technology and infrastructure for the running of analytical, trading, clearing, and risk management processes
- Oversaw quantitative research and analysis firmwide
Sep 2004 - Jun 2011
Director, Quantitative Engineering
Credit Suisse Asset Management
- Developed and managed quantitative models for asset allocation, currency selection, sector selection, and stock selection
- Served as member of global strategy and asset-allocation teams with responsibility for quantitative models
- Developed and implemented processes and tools to manage quantitative equity portfolios
- Co-managed $500 million structured equity portfolio using quantitative processes and tools
- Provided analytical tools and services to internal and external clients
- Carried out research in quantitative stock selection, asset allocation, portfolio construction, and risk management
Aug 1998 - Aug 2004
Avp, Quantitative Analyst And Portfolio Manager
Credit Suisse Asset Management
- Helped manage portfolios of Australian fixed-income securities and derivatives
- Developed and applied risk management tools for fixed-income portfolios & for asset allocation
- Carried out credit research and analysis on non-government and infrastructure securities
- Carried out research and analysis of mortgage-backed securities
Jan 1995 - Aug 1998
2 education records
Daniel Lam education
Master Of Science (M.S.), Mathematics In Finance
New York University, Courant Institute Of Mathematical Sciences
Bachelor Of Science & Bachelor Of Engineering, Physics And Software Engineering
University Of Melbourne
FAQ
Frequently asked questions about Daniel Lam
Quick answers generated from the profile data available on this page.
What company does Daniel Lam work for?
Daniel Lam works for Bloomberg LP.
What is Daniel Lam's role at Bloomberg LP?
Daniel Lam is listed as Macro Quantitative Researcher at Bloomberg LP.
What is Daniel Lam's email address?
AeroLeads has found 1 work email signal at @bloomberg.com for Daniel Lam at Bloomberg LP.
What is Daniel Lam's phone number?
AeroLeads has found 3 phone signal(s) with area code 646, 212, 810 for Daniel Lam at Bloomberg LP.
Where is Daniel Lam based?
Daniel Lam is based in New York, New York, United States while working with Bloomberg LP.
What companies has Daniel Lam worked for?
Daniel Lam has worked for Bloomberg Lp, Qs Investors, Llc, Third Wave Global Investors, and Credit Suisse Asset Management.
How can I contact Daniel Lam?
You can use AeroLeads to view verified contact signals for Daniel Lam at Bloomberg LP, including work email, phone, and LinkedIn data when available.
What schools did Daniel Lam attend?
Daniel Lam holds Master Of Science (M.S.), Mathematics In Finance from New York University, Courant Institute Of Mathematical Sciences.
What skills is Daniel Lam known for?
Daniel Lam is listed with skills including Hedge Funds, Asset Allocation, Quantitative Finance, Equities, Fixed Income, Global Macro, Options, and Derivatives.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial