SESSION OPEN · Available
Moshe Malka

Moshe MalkaSoftware Engineer & Engineering Leader · New York City

I like buildingthings that move.

Software engineer and engineering leader in New York City — writing software since 2008. Currently on Goldman Sachs’ Private Wealth platform; previously Peloton’s e-commerce replatform, institutional bond trading at ICE, and HFT systems that filled arbitrage in 26 milliseconds. I lead teams, mentor engineers, and ship with AI.

experience
0Y
writing software since ’08
current
GS.PWM
Goldman Sachs · Private Wealth
desk
NYC ↔ MIA
dual desk
positions
0
2 open · full book below

Position Book · click to expand tear sheet

Open Positions
24-09 → ●
OPEN
GS.PWM · Private Wealth · Frontend on portfolio platform for brokers + HNW clientsΔP +12 teams
basis
Frontend on the Goldman Sachs Private Wealth platform. Brokers and high-net-worth clients depend on it daily. I own 2–4 core portfolio management pages inside a large-scale React + TypeScript + MobX SPA.
highlights
  • Built reusable Control Bar + Currency Picker — adopted across the broader app
  • Led portfolio UX redesign + frontend refactor; aligned with internal design system
  • Lifted unit-test coverage to 80%+ with Jest, strengthening release reliability
  • Mentor + onboard analysts on architecture, testing, and code quality
instruments
TypeScriptReactMobXJest
size · tenor
100% · 24-09 → ●
Closed Positions
Meta · the art behind this site

Holdings · stack as sector heatmap

typescript9Y · 17%
react9Y · 15%
node9Y · 12%
rest9Y · 3%
aws9Y · 2%
websockets8Y · 3%
python7Y · 8%
gcp7Y · 1%
next.js6Y · 13%
mongodb6Y · 3%
github actions6Y · 1%
graphql5Y · 7%
firebase5Y · 3%
docker5Y · 1%
tailwind4Y · 6%
llms · gpt-43Y · 1%
bun1Y · 4%
size = years on deskheat = current allocationlive

Open Source · listed on npm

26 zero-dependency TypeScript libraries — Treasury and rates math, market-data clients, FX conventions, volatility models, Hebrew NLP — each verified against primary sources and maintained on GitHub. A sample:

32ndsUS Treasury price math — 32nds quotes (105-16+), ticks, basis pointscompounded-sofrSOFR compounding in arrears — ARRC & ISDA conventions, SOFR IndextreasurydirectTyped client for the US Treasury's auction & securities APIshagan-sabrSABR implied vol — Hagan 2002 expansions, Obłój fix, calibrationinstrument-identifiersCUSIP, ISIN, SEDOL, FIGI, LEI — check digits, parsing, conversionsafe-stack-conversionYC SAFEs & convertible notes → pro-forma cap table at a priced roundreg-z-aprTruth in Lending APR — the Reg Z Appendix J actuarial methodmisparHebrew gematria — 13 classical methods, atbash & albam transforms+18 morethe full package family on npm

Energy

Capitalacross exchanges
Datathrough pipelines
Interfacesmoving portfolios
Peopleacross cities

I’m interested in leverage — the kind you get from code that moves capital, systems that scale without drama, and teams that outlast their founders.

Eighteen years in, the pattern is consistent: I join where the stakes are measured in milliseconds or millions, build the thing, raise the people, and leave the platform stronger than the slide deck said it would be. Lately that means putting AI to work inside real products — not demos.